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På Digg förenklar vi framtiden. Hos oss är du med och formar den digitala infrastruktur som gör det möjligt för myndigheter och andra aktörer att utbyta information på ett säkert och effektivt sätt. Vi är en dynamisk myndighet där du får använda din kompetens för att bidra till lösningar som påverkar samhället i stort – ett spännande och meningsfullt uppdrag där du får vara med och skapa trygg, hållbar och innovativ digital utveckling. Vill du vara med på resan? https://www.digg.se/om-oss/vart-uppdrag. Du kliver dessutom in i ett spännande skede. Den 1 januari 2027 går Digg och PTS samman och blir Digitaliseringsmyndigheten, där vi tillsammans fortsätter arbeta för ett säkert digitalt Sverige för alla. Om jobbet Vi söker nu en verksamhetsutvecklare till två digitala infrastrukturer som Digg ansvarar för: Säker digital kommunikation (SDK) och e-Codex. SDK erbjuder ett enkelt och säkert sätt att skicka känslig och sekretessklassad information mellan den offentliga sektorns olika aktörer. e-Codex gör det möjligt för myndigheter och andra aktörer att utbyta rättslig information på ett säkert sätt inom EU. Tjänsten finns på enheten Säker kommunikation och anslutning och du kommer att tillhöra teamet som arbetar med SDK och e-Codex. Exempel på arbetsuppgifter: driva och delta i förvaltnings- och utvecklingsinsatser arbeta i olika faser av behovsdriven utveckling, bl.a. samla in behov och föreslå utvecklingsinsatser arbeta med att etablera och förvalta interna rutiner och processer, bl.a. etablera en förvaltningsorganisation för e-Codex främja och följa upp användningen av infrastrukturerna samverka med andra myndigheter och privata aktörer samverka med relevanta organ inom EU när det gäller e-Codex. Om dig För att lyckas och trivas i den här rollen behöver du ha följande kompetenser, kunskaper och erfarenheter: Erfarenheter och kunskaper – krav Flerårig erfarenhet av rollen som verksamhetsutvecklare Erfarenhet av utveckling och förvaltning av digitala tjänster Erfarenhet av att utveckla och förvalta processer och rutiner Erfarenhet av att genomföra utredningar och kravanalyser Erfarenhet av metoder för behovsinsamling och verksamhetsutveckling, som till exempel att leda workshops, utforma enkäter, genomföra processkartläggning och processutveckling Erfarenhet av samverkan med offentliga och privata aktörer samt att samordna insatser mellan olika aktörer Mycket goda kunskaper i svenska och engelska, både muntligt och skriftligt. Det innebär att du kan producera rapporter och annat material på den nivå uppgiften kräver och att du uttrycker dig på ett pedagogiskt sätt så att mottagaren förstår. Erfarenheter och kunskaper – meriterande Erfarenhet av att praktiskt arbeta utifrån agila arbetssätt. Erfarenhet av att arbeta med förvaltningsgemensamma digitala tjänster i offentlig förvaltning. Erfarenhet av Säker digital kommunikation (SDK), e-Codex, e-Delivery, EU-LISA:s system eller relevanta tekniska standarder. Erfarenhet av arbete med digitalisering på EU-nivå. Utbildning Akademisk utbildning inom IT, juridik, informationssäkerhet eller motsvarande erfarenhet som arbetsgivaren bedömer som relevant. Kompetenser Helhetssyn. Du tar ansvar för att förstå och agera i enlighet med Diggs roll och uppdrag på en övergripande nivå. Du har lätt för att sätta dig in i och växla mellan olika perspektiv och ser till hela verksamhetens bästa i beslut och handling. Ansvarstagande - Du tar aktivt ansvar, arbetar mot mål, fokuserar på och levererar resultat i prioriteringar, planering och dina handlingar. Du har lätt för att ställa om och ändra inriktning när förutsättningarna förändras. Genom din prestigelöshet tar du ditt ansvar och gör det som behöver göras. Samarbetsförmåga - Det betyder att du samarbetar bra med andra genom att du lyssnar, kommunicerar och kan ge och ta feedback på ett konstruktivt sätt. Du tar dig an uppgifter med nyfikenhet och fokuserar på ditt och andras lärande. Strukturerad - Du planerar, organiserar och prioriterar arbetet på ett effektivt sätt. Du sätter upp och håller tidsramar. Vi erbjuder Hos oss arbetar engagerade personer som alla bidrar till digitaliseringen av Sverige. Vi rekryterar långsiktigt och lägger stor vikt vid att våra medarbetare mår bra, utvecklas i sitt arbete och trivs på jobbet. Diggs huvudkontor finns i centrala Sundsvall i moderna aktivitetsbaserade lokaler. Vi har även ett mindre kontor i centrala Stockholm. Vi erbjuder möjlighet till distansarbete, omfattning varierar mellan olika personer utifrån verksamhetens behov. På Digg får du tillsvidareanställning med tillträde enligt överenskommelse, anställningen kan komma att inledas med sex månaders provanställning placeringsort är Sundsvall eller Stockholm resor förekommer och dess antal kan variera över tid generösa förmåner. Läs mer på https://www.digg.se/om-oss/jobba-med-oss. I vår rekryteringsprocess ingår bakgrundskontroll i form av CV-verifiering för samtliga slutkandidater. Sök Vänta inte med att söka! Vi strävar efter att ha en så snabb, effektiv och fördomsfri process som möjligt och arbetar därför löpande, strukturerat och systematiskt med vårt urval. Vi välkomnar sökande med olika bakgrunder och erfarenheter. Ägna inte onödig tid åt att uppdatera ditt cv, svara istället på våra urvalsfrågor i ansökan. Sista ansökningsdag är 16 augusti. Har du frågor om jobbet är du välkommen att kontakta enhetschef Kristin Aastrup på tel 010-484 74 13. Fackliga kontaktpersoner är Mattias Ekhem för Saco-S och Åsa Fridholm för ST. De nås via växeln på 0771-11 44 00. Vi tar gärna emot frågor från dig som är intresserad av att jobba hos oss men tackar nej till dig som säljer annonser och rekryteringstjänster. Digg och PTS blir Digitaliseringsmyndigheten Den 1 januari 2027 går Digg och PTS samman och blir Digitaliseringsmyndigheten. Vi samlar kompetens inom digitalisering, digital infrastruktur, data och AI i en gemensam myndighet. När du söker den här tjänsten blir du en del av den resan. Här får du möjlighet att tillsammans med engagerade kollegor bidra till samhällsviktiga frågor, utvecklas i din yrkesroll och vara med och forma en myndighet som stärker Sveriges digitala framtid.
På Digg förenklar vi framtiden. Hos oss är du med och formar den digitala infrastruktur som gör det möjligt för myndigheter och andra aktörer att utbyta information på ett säkert och effektivt sätt. Vi är en dynamisk myndighet där du får använda din kompetens för att bidra till lösningar som påverkar samhället i stort – ett spännande och meningsfullt uppdrag där du får vara med och skapa trygg, hållbar och innovativ digital utveckling. Vill du vara med på resan? https://www.digg.se/om-oss/vart-uppdrag. Du kliver dessutom in i ett spännande skede. Den 1 januari 2027 går Digg och PTS samman och blir Digitaliseringsmyndigheten, där vi tillsammans fortsätter arbeta för ett säkert digitalt Sverige för alla. Om jobbet Vi söker nu en verksamhetsutvecklare till två digitala infrastrukturer som Digg ansvarar för: Säker digital kommunikation (SDK) och e-Codex. SDK erbjuder ett enkelt och säkert sätt att skicka känslig och sekretessklassad information mellan den offentliga sektorns olika aktörer. e-Codex gör det möjligt för myndigheter och andra aktörer att utbyta rättslig information på ett säkert sätt inom EU. Tjänsten finns på enheten Säker kommunikation och anslutning och du kommer att tillhöra teamet som arbetar med SDK och e-Codex. Exempel på arbetsuppgifter: driva och delta i förvaltnings- och utvecklingsinsatser arbeta i olika faser av behovsdriven utveckling, bl.a. samla in behov och föreslå utvecklingsinsatser arbeta med att etablera och förvalta interna rutiner och processer, bl.a. etablera en förvaltningsorganisation för e-Codex främja och följa upp användningen av infrastrukturerna samverka med andra myndigheter och privata aktörer samverka med relevanta organ inom EU när det gäller e-Codex. Om dig För att lyckas och trivas i den här rollen behöver du ha följande kompetenser, kunskaper och erfarenheter: Erfarenheter och kunskaper – krav Flerårig erfarenhet av rollen som verksamhetsutvecklare Erfarenhet av utveckling och förvaltning av digitala tjänster Erfarenhet av att utveckla och förvalta processer och rutiner Erfarenhet av att genomföra utredningar och kravanalyser Erfarenhet av metoder för behovsinsamling och verksamhetsutveckling, som till exempel att leda workshops, utforma enkäter, genomföra processkartläggning och processutveckling Erfarenhet av samverkan med offentliga och privata aktörer samt att samordna insatser mellan olika aktörer Mycket goda kunskaper i svenska och engelska, både muntligt och skriftligt. Det innebär att du kan producera rapporter och annat material på den nivå uppgiften kräver och att du uttrycker dig på ett pedagogiskt sätt så att mottagaren förstår. Erfarenheter och kunskaper – meriterande Erfarenhet av att praktiskt arbeta utifrån agila arbetssätt. Erfarenhet av att arbeta med förvaltningsgemensamma digitala tjänster i offentlig förvaltning. Erfarenhet av Säker digital kommunikation (SDK), e-Codex, e-Delivery, EU-LISA:s system eller relevanta tekniska standarder. Erfarenhet av arbete med digitalisering på EU-nivå. Utbildning Akademisk utbildning inom IT, juridik, informationssäkerhet eller motsvarande erfarenhet som arbetsgivaren bedömer som relevant. Kompetenser Helhetssyn. Du tar ansvar för att förstå och agera i enlighet med Diggs roll och uppdrag på en övergripande nivå. Du har lätt för att sätta dig in i och växla mellan olika perspektiv och ser till hela verksamhetens bästa i beslut och handling. Ansvarstagande - Du tar aktivt ansvar, arbetar mot mål, fokuserar på och levererar resultat i prioriteringar, planering och dina handlingar. Du har lätt för att ställa om och ändra inriktning när förutsättningarna förändras. Genom din prestigelöshet tar du ditt ansvar och gör det som behöver göras. Samarbetsförmåga - Det betyder att du samarbetar bra med andra genom att du lyssnar, kommunicerar och kan ge och ta feedback på ett konstruktivt sätt. Du tar dig an uppgifter med nyfikenhet och fokuserar på ditt och andras lärande. Strukturerad - Du planerar, organiserar och prioriterar arbetet på ett effektivt sätt. Du sätter upp och håller tidsramar. Vi erbjuder Hos oss arbetar engagerade personer som alla bidrar till digitaliseringen av Sverige. Vi rekryterar långsiktigt och lägger stor vikt vid att våra medarbetare mår bra, utvecklas i sitt arbete och trivs på jobbet. Diggs huvudkontor finns i centrala Sundsvall i moderna aktivitetsbaserade lokaler. Vi har även ett mindre kontor i centrala Stockholm. Vi erbjuder möjlighet till distansarbete, omfattning varierar mellan olika personer utifrån verksamhetens behov. På Digg får du tillsvidareanställning med tillträde enligt överenskommelse, anställningen kan komma att inledas med sex månaders provanställning placeringsort är Sundsvall eller Stockholm resor förekommer och dess antal kan variera över tid generösa förmåner. Läs mer på https://www.digg.se/om-oss/jobba-med-oss. I vår rekryteringsprocess ingår bakgrundskontroll i form av CV-verifiering för samtliga slutkandidater. Sök Vänta inte med att söka! Vi strävar efter att ha en så snabb, effektiv och fördomsfri process som möjligt och arbetar därför löpande, strukturerat och systematiskt med vårt urval. Vi välkomnar sökande med olika bakgrunder och erfarenheter. Ägna inte onödig tid åt att uppdatera ditt cv, svara istället på våra urvalsfrågor i ansökan. Sista ansökningsdag är 16 augusti. Har du frågor om jobbet är du välkommen att kontakta enhetschef Kristin Aastrup på tel 010-484 74 13. Fackliga kontaktpersoner är Mattias Ekhem för Saco-S och Åsa Fridholm för ST. De nås via växeln på 0771-11 44 00. Vi tar gärna emot frågor från dig som är intresserad av att jobba hos oss men tackar nej till dig som säljer annonser och rekryteringstjänster. Digg och PTS blir Digitaliseringsmyndigheten Den 1 januari 2027 går Digg och PTS samman och blir Digitaliseringsmyndigheten. Vi samlar kompetens inom digitalisering, digital infrastruktur, data och AI i en gemensam myndighet. När du söker den här tjänsten blir du en del av den resan. Här får du möjlighet att tillsammans med engagerade kollegor bidra till samhällsviktiga frågor, utvecklas i din yrkesroll och vara med och forma en myndighet som stärker Sveriges digitala framtid.
IT-bemanning är ett Stockholmsbaserat IT-konsultföretag, specialiserat på att leverera kvalitativ kompetens inom området IT-support, IT-drift samt IT-rekrytering. Vi är ett personligt IT-konsultföretag som värdesätter den enskilda konsultens egenskaper. Har du de rätta egenskaperna - social, driven och tävlingsinriktad så kan vi ge dig de rätta förutsättningarna för ett roligt, stimulerande och utvecklande arbete som konsult hos någon av våra kunder. IT-bemanning är ett dotterföretag till IT-konsultföretaget Xperta AB och som är specialiserade inom området IT-infrastruktur. Om uppdraget Become part of the Flexibility (VPP) team, which builds a state-of-the-art virtual power plant solution based on pooling fl exible residential DERs (e.g. batteries and EVs). By utilizing accurate forecasts and intelligent control, this solution unlocks the direct market participation of household DERs in a robust way. This service, which employs both deterministic steering and data-driven forecasting algorithms, is continually being enhanced and scaled to keep pace with the ever-increasing number of customers using this service. The Flexibility team is looking forward to growing together with you and bringing this feature to many more customers. Experience & Mindset ● Production-Grade Track Record: You have hands-on experience working on real-world projects with a proven history of delivering robust data solutions into production. ● Focus on Stabilization: You take full ownership of system reliability, actively monitoring and stabilizing workfl ows to ensure continuous, high-quality operations. ● Time-Series Expertise: You are comfortable working with large-scale time-series data and deeply understand the unique structural and processing challenges it presents. Technical Skills & Core Stack ● Programming & Data Wrangling: You have solid experience writing clean, maintainable code for complex data manipulation and transformation tasks. While our forecasting ecosystem relies on Python, Polars, and Pandas, at gridX, our main programming language is Go. Strong profi ciency in equivalent languages or data wrangling frameworks is highly welcome. ● Database Mastery: You command strong SQL skills. We rely heavily on ClickHouse—experience here is a highly valued asset. ● Cloud & Infrastructure: You have practical experience provisioning and managing scalable infrastructure using AWS, Kubernetes, and Terraform. MLOps & Orchestration ● Workfl ow Management: You are experienced in building and orchestrating complex data pipelines and ML workfl ows. We utilize Metafl ow, Argo, and MLfl ow, but practical experience with any comparable orchestration and model lifecycle tools is fully transferable. ● Rigorous Validation: You thoroughly test, validate, and benchmark models and data products prior to deploying them into live environments. ● Observability: You maintain clear visibility over production systems and possess practical experience setting up metrics and alerting dashboards using Grafana. Välkommen med din ansökan!
What you'll do: As a member of the CMS Safety Office, you will participate in all safety-related activities at the CMS experimental sites during the Long Shutdown 3, when both the detector and the infrastructure will undergo major upgrades. In particular, you will take a leading role in the technical review of all CMS fire extinguishing systems and safety monitoring systems to assess their design, coverage and suitability for the CMS upgrade. You will contribute to the review, testing, and commissioning of the CMS Alarm Action Matrix in collaboration with all the relevant stakeholders, as well as organise regular reviews of the systems and activities and guide risk assessments for the collaboration's teams. Your responsibilities: - Coordinate and supervise the installation, integration, and commissioning of safety-related infrastructure for CMS across its underground experimental and surface facilities on the French and Swiss sites. - Organise and follow up on the assembly, deployment, and commissioning of the CMS environmental monitoring system based on sniffers. - Lead the technical review, consolidation, maintenance, and follow-up of the CMS fire protection systems. Contribute to the definition, review, testing, and validation of safety system logic, in particular the CMS Alarm Action Matrix. - Interface with CMS Technical Coordination, subdetector teams, and safety link persons to ensure coherent implementation of safety requirements and proper integration of systems across multiple domains. - Support the preparation and follow-up of safety-related deliverables, including environmental monitoring systems and alarm management, ensuring traceability and consistency throughout the project lifecycle. - Participate in and guide activity reviews and related risk assessments within CMS. - Proactively contribute to the continuous improvements to the safety framework at the CMS experimental site, ensuring a safe working environment while streamlining safety processes and documentation to support the efficient execution of experimental activities. Still here? Let's make a quick check about: Your profile: - Experience with fire protection systems or environmental monitoring systems. - Extensive experience in the installation, integration, and commissioning of safety-related technical systems, preferably in a complex or multidisciplinary environment. - Experience in field-supervision, including installation follow-up, testing, and commissioning of complex systems. - Track record in activity safety supervision, risk assessment, and coordination of multiple stakeholders. Initial experience working with control and/or safety systems (e.g. monitoring systems, alarms, interlocks, or similar). - Knowledge of safety regulations and standards in an international environment. - Proven ability to work successfully within multinational and multicultural teams of scientists, engineers and technicians. - Master's degree or equivalent relevant experience in the field of Mechanical Engineering, Health, Safety and Environment Engineering or a related field. Certificates in Safety Management (e.g. Nebosh) would be an advantage. Your skills: - Safety conformity assessment. - Occupational safety and risk management. - Knowledge of design codes and compliance verification of mechanical equipment. - Maintenance management. - Process analysis, definition and improvement. - Operation and support of experimental facilities. - Drives work / projects along and sees them through to their conclusion. - Contributes to promoting a positive atmosphere in the team through an optimistic and constructive attitude; addresses issues. - Takes initiative beyond regular tasks and makes things happen. - Adapts quickly and resourcefully to shifting priorities and requirements. - Ensures that information, procedures and decisions are appropriately documented. - Spoken and written both English and French. Medical hazard: Exposure to electromagnetic fields under certain exposure conditions. Given the occupational health risks associated with this position, the selected candidate must obtain medical clearance before a contract offer is confirmed. Employment conditions: - A valid driving licence. - Work during nights, Sundays and official holidays, when required by the needs of the Organization. - Interventions in underground installations. - Work in Radiation Areas.
CIVIL/UG FIELD ENGINEER Location: Boden, SE Rotation: 6/2 (Accommodation provided) Start Date: ASAP Contract duration: initial 12 months, with possible extension Project: Green steel project site We are looking for a CSA/UG Field Engineer they will act as a resource for colleagues with less experience and share their conceptual and practical expertise related to the Civil and Underground Piping discipline. They solve complex problems and use discipline-specific knowledge to improve their products or services. The CSA/UG Field Engineer impacts a range of customer, operational, project, or service activities with the site team and other related teams and ensures that they work within the appropriate guidelines and policies. Role & Responsibilities Acts as experience field engineer at the construction site in Boden, Sweden. Solves technical queries independently. Lead technical discussions with site personnel and subcontractors. Apply knowledge and skills to a wide range of standard and nonstandard situations. Prepare clear and accurate detailed design calculations and analyses, including design reports and procedures. Manage own time to meet agreed deadlines and budgets and develop plans for short-term work activities in own area. Communicate and explain complex issues and work to establish understanding. Initiate interface with other disciplines to obtain input for discipline designs. Understands details and layouts of all underground services. Understands hydraulic analyses and reports on calculations of underground piping designs Prepares Project Engineering guides for UG work. Coordinates and checks the work of UG engineers and designers Provide engineering support as required. Perform engineering checks of drafting. Perform engineering checks prepared by others within the discipline. Prepare MTOs of foundations and structures. Prepare specifications of Civil and Underground Piping. Prepare subcontract documents. Review vendor data. Prepare technical bid evaluations. Check designs for operational requirements, constructability, and maintainability. Tasks as Engineering Specialist, in addition: Perform independent computer analyses of foundations and structures. Prepare details and layouts of foundations and structures. Prepare structural analyses and reports on calculations or perform specialist tasks (i.e., architectural designs, underground piping designs, complex foundations/structures, weight control reports, the centre of gravity reports) Become specialized in several fields (geotechnical, steel, concrete, dynamic calculations, FEM, fatigue calculations, earthquake, blast, architectural). Become specialized in some design codes (EC, ACI/AISC/API, GOST). Prepare project engineering guides Experience and QualificationsBachelor’s Degree or master’s degree in engineering. 5-12 years in Oil and Gas with a major contractor or consultant, predominantly performing detail design. Strong working knowledge of many design techniques and analysis methods, and detailed knowledge of the content and application of standards codes and guidelines as applicable. Seasoned knowledge of engineering standards and specifications. Good knowledge of engineering software. Able to work independently. Good working knowledge of English, both oral and written. HSE, TQM, and cost-conscious. Good technical structural knowledge. Good organizer, motivator, and supervisor. Keen on improving the effectiveness of the work. Show flexibility and ensure proper hand-over with regards to: The reassignment to other departments/construction sites/fabrication yards. The replacement of colleagues during illness and holidays. The provision of assistance to other colleagues with heavy workloads (also other projects) when possible/desirable. The managing/learning of current working methods and software applications. The next step We have an exceptional team in place, and we are pleased to be able to appoint a further person to our growing business. We are aware that you may not ‘tick all the boxes’, but if you believe you can genuinely offer some valuable skills and experience to our business, please in the first instance contact our recruitment partner Airswift.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Product Security Data Platforms team is a newly established engineering team within Stripe Security. Our mission is to build the foundational infrastructure that provides our users with unprecedented visibility into the security posture of their Stripe integration. While Stripe is renowned for industry-leading payment protection, we are expanding our focus to provide a comprehensive security telemetry platform that helps businesses protect their entire digital ecosystem on Stripe. As a founding member of this team, you'll architect a large-scale customer-facing security data pipeline and presentation layer. Much like modern security observability platforms and data lakes that have transformed cloud infrastructure, we're building an API-first service that transforms massive streams of behavioral data into actionable security intelligence. This team operates at the intersection of high-throughput data engineering and cybersecurity, creating the systems that will allow the world’s most sophisticated companies to monitor, detect, and respond to threats in real time. WHAT YOU’LL DO As a Senior Software Engineer on this founding team, you'll lead the technical design and implementation of our core security data pipelines. You'll define how we capture security signals, process them at scale, and deliver them to our users through robust, developer-friendly interfaces. If you have security domain knowledge, you'll have opportunities to help shape product vision. RESPONSIBILITIES * Architect scalable foundations. Design and implement a highly available, low-latency pipeline capable of processing and augmenting millions of events per second into structured security telemetry. * Build API-first products. Develop the core services and streaming APIs that enable enterprise customers to seamlessly ingest security signals into their own internal security operations centers and analytics tools. * Engineer security signals. Partner with security researchers and threat detection experts to build the logic that identifies anomalous behavior and surfaces high-fidelity security insights. * Define technical strategy. Lead the technical roadmap for the platform, making critical decisions on data modeling, storage strategies, and the abstraction layers that will support future security products. * Drive engineering excellence. As a senior leader, you'll set the bar for code quality, system resilience, and operational maturity for a product that requires 99.99%+ availability. * Collaborate cross-functionally. Work closely with the Stripe core platform and data teams to leverage global infrastructure while ensuring security data remains isolated and protected. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of professional software development experience, with a history of shipping and maintaining complex, large-scale systems * Expertise in data engineering and distributed systems, with deep experience building and operating high-throughput data pipelines (e.g., Kafka, Flink, Spark, or similar streaming technologies) * Strong programming fundamentals, significant experience in languages like Java, C++, or Rust * System design leadership, a proven track record of designing robust, scalable architectures and leading cross-team technical initiatives from conception to launch * Operational mindset, experience maintaining business-critical services with high availability requirements, on-call rotation, and a strong focus on observability and debugging * Communication and collaboration skills, excellent technical writing skills for drafting design documents and the ability to mentor other engineers while collaborating with non-technical stakeholders PREFERRED QUALIFICATIONS * Security domain knowledge, with prior experience building security analytics, threat detection systems, or observability platforms. * Platform engineering with experience building "as-a-service" infrastructure where the primary users are other engineers or external developers. * Cloud native infrastructure, with prior experience with AWS, Kubernetes, and infrastructure-as-code (Terraform). * Product intuition and a desire to work on "0-to-1" initiatives where you help define the product requirements and user experience alongside engineering. * Front-end or full stack experience is a plus, particularly with React or TypeScript.
WHO WE ARE ABOUT PRIVY Our mission is to make privacy and user ownership the default online. To do so, we build simple, flexible APIs and tools for developers that make it easy to build new products on crypto rails. Privy owns the abstractions and infrastructure layer above wallets, integrating across chains, third-party providers, and Stripe products like Treasury and Link. We get to solve hard technical problems while leveraging Stripe's distribution to reach customers like Ramp, Klarna, Deel, Kraken, Hyperliquid, and Fomo — powering experiences for both mainstream users and crypto natives. Learn more about Privy: Privy and Stripe: Bringing crypto to everyone ABOUT THE TEAM Engineering at Privy is distinguished by * High urgency—Shipping very small iterations, very fast, to learn very quickly * Product taste—Our customers are developers, and to build effective products for them requires technical knowledge—you will often be "the PM." * Security mindset—A great portion of our product is trust. While we have a dedicated security team, every engineer brings security to their designs from the start. In practice, we use boring technology like Node, React, and AWS so we can focus our engineering energy entirely on pushing the boundaries of Privy's core product, e.g. through hardware enclaves, multi-region low latency APIs, and blockchain abstractions that are accessible to mainstream developers. WHAT YOU’LL DO As a Fullstack Engineer at Privy, you will take on large areas of ownership in Privy’s product, architecture, and infrastructure. Because we build a developer tool, engineering and product are inextricably connected. We value intuitive interfaces, simplicity, and rapid iteration. Above all, we are building a company together to ship products that users love. * Design intuitive interfaces to break down complex systems and turn them into delightful developer tooling * Build and integrate systems end-to-end across client-side and server-side APIs to enable a seamless developer experience * Design and implement end-to-end product features driven by user needs * Advocate for usability and interface coherence across our teams and products * Enforce web development best practices across our entire product, collaborating with other core stakeholders MINIMUM REQUIREMENTS * 8+ years of experience * Deep knowledge of React, TypeScript, Next.js * Experience building and maintaining a production system at scale * Prior experience working closely with a designer to iterate on a product * An understanding of modern web development best practices * Experience writing delightful developer documentation PREFERRED QUALIFICATIONS * Strong preference for experience in an API-based business and in payments, fintech, or crypto * Written open-source developer tooling * Published about your work (code, presentations, papers, blog posts, etc.) * Past experience working closely with Design teams in authentication, security, or web3
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective—turning individual ingenuity into org-wide capability. We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org—building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day. WHAT YOU'LL DO As an AI Engineer, you'll be embedded directly with the Solutions Architecture team—building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default. You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you'll build those too. This is a role for someone who wants to work at the intersection of engineering and business impact—close to customers, close to revenue, and building for people you can see using your work every day. RESPONSIBILITIES * Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables * Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage—not for novelty, but for measurable productivity improvement * Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock * Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions * Identify patterns across SA workflows and proactively build solutions that address recurring friction * Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements * Document tools, architectures, and usage patterns so others can adopt and extend what you've built * Debug, extend, and maintain backend systems across a variety of codebases and infrastructure MINIMUM REQUIREMENTS * 4+ years of experience as an engineer shipping production systems * Strong backend engineering fundamentals: you can debug a failing system, trace issues across services, and reason about data flows * Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering * Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment * Proficiency in at least two of: Ruby, Node.js, Python, or Next.js * Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps * Experience building internal tools, developer platforms, or workflow automation * Demonstrated ability to work across multiple codebases and technology stacks simultaneously * Hands-on experience using AI/LLM tools in your engineering workflow—you're fluent with AI-assisted development but not dependent on it; you can reason through problems and debug without AI as a crutch * Strong written and verbal communication skills; you can translate technical decisions for non-technical stakeholders and navigate cross-functional collaboration naturally * Comfort with ambiguity—you can take a loosely-defined business problem, scope the engineering work, and ship iteratively without waiting for a perfect spec PREFERRED QUALIFICATIONS * Experience designing systems that non-engineers can build on top of or extend themselves (e.g., platforms, low-code frameworks, template systems) * Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role—or a product engineering role where you worked closely with customers or go-to-market teams * Familiarity with Stripe's products, APIs, or the payments/fintech domain * Experience integrating with third-party platforms (Salesforce, Gong, etc.) * Track record of building tools or systems that were adopted beyond your immediate team * Background in consulting, professional services, or other roles that blend technical depth with business context WHO YOU ARE Beyond the technical requirements, we're looking for a specific kind of engineer: * You want to be close to the business. You're energized by seeing your work directly impact how a sales team wins a deal or how a customer succeeds. * You're a pragmatic builder. You ship working solutions quickly, iterate based on real usage, and know when "good enough now" beats "perfect later." You'd rather show a working prototype today than present a roadmap deck next quarter. * You're a software engineer by practice. You can architect systems, debug production issues, write clean code, and reason about tradeoffs. AI is a tool in your belt, not a substitute for engineering judgment. * You're a pattern recognizer. When you build something that works for one person, you immediately see how it generalizes. You think in reusable systems, not one-off scripts. * You thrive without a traditional product team structure. No PRDs landing in your lap, no dedicated PM, no sprint ceremonies. You identify the highest-leverage problem, scope the work, and ship it. You're comfortable trading on-call rotations and rigid processes for autonomy and impact. * You're a strong communicator. You can partner with SAs who are domain experts, understand their workflows deeply enough to build great tools, and explain your technical choices to leadership.
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation. Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. THE BENEFITS This is a Full time position based in Kosovo. Beyond a competitive compensation package, we offer: * Health insurance that guarantees fast access to contracted health services * Vacation Plan * Subsidy for study materials, trainings, conferences and events that will contribute to your development * Hybrid Working model * Performance Evaluation Process that paves the roadmap for a personal and professional career development * Refreshments and fruit in the office * Team gatherings and parties organized and subsidized by the company YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation. Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. THE BENEFITS This is a Full time position based in Ukraine. Beyond a competitive compensation package, we offer: * Mental and physical health: * Medical insurance * Sports reimbursement budget * Home office support * A number of free psychological and legal consultations * Maternity and paternity leave support * Personal and professional development: * Internal workshops and learning initiatives * English language classes compensation * Professional certifications reimbursement * Participation in professional local and global communities * Growth Framework to manage expectations and define the steps to move towards the selected career * Mentoring program with the ability to become a mentor or a mentee to grow to a higher position * Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation. Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. THE BENEFITS Beyond a competitive compensation package, we offer: * Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance. * Co-subsidized transportation & Multisport cards. * Premium health insurance for fast and easy access to top healthcare services. * Training policy for technical and other skills-related events, courses and certifications. * Personal career development roadmap guided by performance evaluations. * Self-care program offering psychological consultations & discussions for you and the team. * Cozy office space designed for comfort and productivity. * Exciting team events and company gatherings. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation. Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. THE BENEFITS This is a position based in Portugal. Beyond a competitive compensation package, we offer: * Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. THE OPPORTUNITY At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: * The work we do and the innovation we drive * Our values of share, care and dare * A workplace culture that fosters creativity, diversity and autonomy * Our borderless, global framework, which enables seamless collaboration The role We are looking for an experienced Senior Data Engineer to design, build, and optimize modern, cloud-based data platforms that power analytics, AI, and data products across the organization. Beyond technical delivery, we're looking for someone genuinely curious about the business problems behind the data — someone who can apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and shape business requirements, not just implement them as given. You will work on scalable batch, streaming, and near-real-time pipelines, enabling high-quality, curated datasets while ensuring robust data governance, security, and observability across the data ecosystem. You will also play a key role in supporting AI and GenAI systems, enabling pipelines for machine learning, causal modeling, and LLM-powered applications such as RAG and agent-based systems. Our preferred platforms are Microsoft Azure / Fabric (primary), GCP, AWS, Databricks, and Snowflake, with Azure experience being highly transferable to Fabric. You will collaborate closely with data scientists, ML engineers, and platform teams to ensure the data foundation supports production-grade, decision-oriented AI systems. Role responsibilities Build & Data Platform Engineering Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake). This includes developing reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake, and building ingestion, transformation, and curation workflows for both structured and unstructured data. You will implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold), ensuring systems are reusable, scalable, and aligned with enterprise needs. Enable AI, GenAI & Data Products Deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems. You will enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows), as well as agent-based architectures and intelligent workflows, ensuring that data is model-ready and production-grade. Data Modeling, Orchestration & Automation Design scalable logical and physical data models for analytical and operational use cases, ensuring consistency across domains. Orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents, with strong focus on automation, reliability, and maintainability of end-to-end pipelines. Architecture, Governance & Observability Apply modern architecture patterns including event-driven and streaming architectures, and ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC). Establish strong data observability, including monitoring of data freshness, pipeline reliability, and SLA adherence, ensuring systems remain trustworthy and production-ready. Data Serving, Integration & Optimization Enable data serving layers (APIs, feature inputs, analytical endpoints) to support downstream systems, including ML and AI platforms. Continuously monitor and optimize pipelines and infrastructure for performance, scalability, and cost efficiency. Requirements Discovery & Business Partnership Bring genuine curiosity to every engagement — ask the right questions to understand not just what stakeholders are asking for, but why. Apply common sense thinking, detailed analysis, and experience-based recommendations to help derive and refine business requirements, surfacing gaps or better alternatives where they exist rather than simply executing a brief as written. Collaboration Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions. Support adoption of data products and contribute to best practices across the data and AI ecosystem. Must have qualifications Technical skills Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Cloud & Platforms (Key Requirement) Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Architecture & Systems Thinking Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Mindset Naturally curious, with strong problem-solving skills focused on scalability and reliability, and a collaborative approach to working in cross-functional teams. Comfortable applying common sense thinking, detailed analysis, and experience-based recommendations to help derive and challenge business requirements rather than taking them at face value. Experience in Agile or consulting environments is beneficial. Nice to have qualifications Experience with GenAI and AI data systems (e.g., RAG pipelines, vector databases, LLM data preparation), as well as CI/CD for data pipelines and infrastructure-as-code tools such as Terraform, ARM, or CloudFormation. Additional exposure to streaming technologies (e.g., Kafka), Spark optimization, or advanced analytics and ML workloads (including causal or experimentation platforms) is valuable. Experience building data products or large-scale analytics platforms is also beneficial. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. The benefits This is a position based in Poland. MENTAL AND PHYSICAL HEALTH: * 24 working days of paid vacation * National holidays covered * Sick leave (up to 20/year) * Unpaid leave (up to 20/year) * Medical insurance * Multisport card OR Multikafeteria * Maternity & paternity leave support PERSONAL AND PROFESSIONAL DEVELOPMENT: * Internal workshops & learning initiatives * Professional certifications reimbursement * Participation in professional local & global communities * Growth Framework to manage expectations and define the steps to move towards the selected career * Mentoring program with the ability to become a mentor or a mentee to grow to a higher position Valtech Poland has a system of progressive benefit packages – the longer you stay with the company, the more benefits you get! Beyond a competitive compensation package, we offer: * Flexibility, with remote and hybrid work options (country-dependent) * Career advancement, with international mobility and professional development programs * Learning and development, with access to cutting-edge tools, training and industry experts YOUR APPLICATION PROCESS Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential. ⚠️ Beware of recruitment fraud! We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. ABOUT VALTECH Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM Stripe is beloved by developers for the simplicity of our APIs, the thoroughness of our documentation, and our focus on developer experience. The Technical Solutions Engineering (TSE) team is the glue that supports our developer-users and champions developer experience as being central to the overall experience of our users. TSE interacts directly with developer-users more than any other team at Stripe, so your role will have a significant impact on what Stripe is known for and values most. When we do our job well, developers all over the world are able to smoothly launch and grow their businesses on Stripe, whether they’re integrating payments for the first time or building complex financial systems. WHAT YOU’LL DO TSEs understand the fundamentals of programming incredibly well and eagerly jump in and familiarize themselves with others’ code. You will do a wide variety of things, including explaining technical concepts about Stripe’s products, build and debug integrations with developers, and produce/improve guides that help our users solve particular problems to be successful with Stripe. You will interact with developers of all skill levels through a variety of mediums, enabling them to be successful when using Stripe. Early on, current team members will devote a large amount of time to teaching you and helping you get to a level of comfort and expertise with Stripe, its services, and how we interact with users. Later, we’d love for you to take on this role with others on the team and Stripes broadly, as teaching is a great way to learn and to reinforce what you know. If you’re someone who enjoys working with all kinds of code, is a fast researcher, a strong writer, and enthusiastic about helping others build mission-critical products with Stripe, we want to hear from you! RESPONSIBILITIES * Communicate with a number of external developers and aid them in building their applications against Stripe’s infrastructure in a number of programming languages (including Java, Python, Ruby, PHP, Go, NodeJS, .NET, ReactJS, React Native, Swift, Objective-C, Kotlin, and Java for Android). * Unblock external developers with their thorniest integration challenges through a variety of support channels including email, ticketing software, internal issue trackers, community platforms (like StackOverflow), and real-time chat software (like Slack and Discord) * Develop and maintain internal and external documentation, examples, integration demos, and code-snippets that demonstrate usage patterns of the Stripe infrastructure. * Identify points of friction developers encounter and collaborate with engineering teams to make Stripe products better. Participate in a number of extended engineering teams’ regular planning sessions, design reviews, and development meetings. * Develop and maintain a suite of internal support tooling for TSE and Stripe Support more broadly e.g. a retrieval augmented generation LLM-based Copilot tool or the Invoice Explainer Admin tool. * Act as a developer advocate and educational resource internal to the organization by regularly assembling training for non-developers internal to the organization and responding in real-time to product integration questions. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. This role is remote but requires candidates to be located in the Mountain or Pacific time zones. MINIMUM REQUIREMENTS * At least 4 years of full-stack software development experience, with a proven track record of building web or mobile applications that deliver high-quality user experiences * Direct experience explaining technical concepts, and would be comfortable explaining how Stripe works to both technical and non-technical audiences * Understands how to write good, clean code in multiple programming languages, as well as how to read code that might not be quite as well written * Ability to help users during working hours in the region you are in. This may occasionally include providing weekend coverage for monitoring/supporting critical infrastructure, which TSEs are uniquely equipped to assist with given the team’s knowledge around Stripe’s products and active integrations. The team is largely remote, and we are very supportive of working arrangements that allow for family care and other needs to be met. PREFERRED QUALIFICATIONS * Enjoys writing in a clear and quick manner * General software engineering skills are important to us, as we understand that new languages and frameworks can be learned if you understand the concepts * Experience teaching or coaching developers * Comfort working with a great deal of autonomy and limited supervision * Degree in Computer Science, Software/Computer Engineering, or a related analytical field of study
Are you passionate about the infrastructure of scalable, secure, and future-proof data platforms that power analytics, AI, and business-critical insights? Do you thrive in environments where automation, cloud technologies, and platform reliability are at the core of everything you do? We're looking for a Data Platform Engineer who wants to play a pivotal role in shaping and operating a modern Azure and Databricks-based data platform that enables data-driven decision-making, advanced analytics, and AI innovation at scale. About the role In this role, you will be responsible for designing, building, and maintaining the infrastructure that supports analytics, reporting, AI, and data product development. You will help establish platform standards, develop automation capabilities, and ensure the platform remains secure, scalable, and resilient. Working closely with Data Architects, Data Engineers, Enterprise Architects, and Security teams, you will drive the evolution of a modern cloud-based platform that enables seamless data ingestion, processing, and consumption across the organization. As a key member of the team, you will manage and optimize Azure Databricks, Azure Data Lake, networking, and supporting platform services. You will implement Infrastructure as Code using Terraform, build and maintain CI/CD pipelines, and create observability frameworks that provide transparency into platform health, performance, and cost efficiency. You will also play an important role in troubleshooting complex issues, improving operational excellence, supporting disaster recovery planning, and enabling AI and machine learning capabilities through robust platform engineering practices. Beyond the technical responsibilities, you will act as a trusted subject matter expert, helping engineering teams adopt cloud platform best practices while continuously driving improvements in reliability, security, governance, and operational efficiency. We're looking for someone who combines a strong engineering foundation with hands-on experience building and operating the infrastructure of enterprise-scale cloud platforms. Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. 5+ years of experience in Platform Engineering, Cloud Engineering, Infrastructure Engineering, Site Reliability Engineering (SRE), or similar roles. Proven experience designing, implementing, and operating secure, scalable, and resilient cloud infrastructure in Azure. Experience supporting modern data platforms, analytics, AI, and machine learning workloads. Key technical skills We're looking for someone with strong expertise across several of the following areas: Azure cloud and data platforms, including Azure Databricks Administration, Azure Data Lake, data integration services, and analytics workloads. Infrastructure as Code and platform automation, including Terraform, Git, CI/CD, automated provisioning, and configuration management. Containerized and cloud-native environments, including Kubernetes and Docker. Cloud networking and identity management, including Azure Networking, Entra ID/IAM, DNS, connectivity, private networking, routing, and firewalls. Security, compliance, and governance, including implementation of security controls and governance frameworks within regulated environments. Observability and platform operations, including monitoring, troubleshooting, high availability, platform reliability, and cost optimization (FinOps). Scripting and automation, using Python, PowerShell, or Bash. Nice to have Experience with any of the following would be considered an advantage: Microsoft Purview and Apache Airflow. MLOps and Azure AI Services. Multi-cloud environments. Azure Solutions Architect, Azure Administrator, or Databricks Platform Administrator certifications. Experience from the logistics industry. Language requirements Fluent in English, both written and spoken Swedish, Danish, Finnish, or Norwegian is considered an advantage Who you are You are a curious and proactive engineer who enjoys solving complex challenges and building reliable platforms that create value at scale. With a strong analytical mindset and a passion for troubleshooting, you thrive in environments where continuous improvement, automation, and operational excellence are key. You take a structured approach to problem-solving, have a natural sense of ownership, and are committed to delivering high-quality solutions. At the same time, you're a collaborative team player who builds strong relationships across Engineering, Architecture, Security, and Business teams, enabling effective stakeholder engagement and driving results through cross-functional collaboration. Apply Welcome to submit your application! The selection is ongoing, but please note that due to the summer holiday period, the recruitment process may take longer than usual and response times may therefore be delayed. We appreciate your patience and understanding. If you have any questions or concerns, please email recruiting manager Linda Njeru at linda.njeru@postnord.com. We look forward to hearing from you! Read more about our union representatives PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Cloud environments are used at Neo4j to perform pre-sales, proof-of-concept, and solution engineering activities with minimal oversight by IT or Security. This role, which resides in IT, will help conceptualize the requisite activities and carve a path toward effective and responsible management of these environments. Some examples of work you’ve performed aligned with these types of activities could be related to finance (budgeting, cost allocation, right-sizing environments) cloud maturity (IaC, naming conventions, tagging initiatives) security (CPSM, asset management, vulnerability) or automation (service catalogs, provisioning, secure configurations). With the correct guidance and prioritization from you, we seek to accomplish wins for management and security while enabling engineers to work faster and more securely than they do today. This role is global and will work across the organization. The Role: * Provide technical leadership through mentorship, documentation, reporting, and knowledge-sharing best practices to peers within IT and consumers of cloud infrastructure. * Play a crucial role in defining and delivering on the roadmap for cloud infrastructure. * Work with the security team to ensure alignment with their vision of cloud management, including compliance. * Liaise with Engineering teams on their use and management of cloud infrastructure to find synergies. * Operationalize the security, management and monitoring of cloud infrastructure. * Take on the Subject Matter Expert (SME) role for cloud in IT and continue to develop broad and deep understanding where opportunities may exist or when new offerings come to market. QUALIFICATIONS: * Bachelor’s degree (or greater) in Computer Science, Information Technology, or a related field. * Proven experience as a Cloud Engineer with in-depth knowledge of at least two of; AWS, GCP, and Azure. * Strong understanding of cloud security best practices and compliance standards. * Experience in designing and implementing cost-effective solutions in cloud environments. * Proficient in troubleshooting and resolving cloud-related issues. * Excellent communication and collaboration skills. PREFERRED SKILLS: * Experience leading company-wide cloud initiatives. * Cloud certifications from AWS, GCP, and Azure. * Experience with DevOps practices and tools including Infrastructure as Code (IaC) solutions. * Familiarity with containerization technologies (e.g., Docker, Kubernetes). * Scripting and automation skills (e.g., Java, Python, Golang, PowerShell). #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com. ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: Cloud environments are used at Neo4j to perform pre-sales, proof-of-concept, and solution engineering activities with minimal oversight by IT or Security. This role, which resides in IT, will help conceptualize the requisite activities and carve a path toward effective and responsible management of these environments. Some examples of work you’ve performed aligned with these types of activities could be related to finance (budgeting, cost allocation, right-sizing environments) cloud maturity (IaC, naming conventions, tagging initiatives) security (CPSM, asset management, vulnerability) or automation (service catalogs, provisioning, secure configurations). With the correct guidance and prioritization from you, we seek to accomplish wins for management and security while enabling engineers to work faster and more securely than they do today. This role is global and will work across the organization. The Role: * Provide technical leadership through mentorship, documentation, reporting, and knowledge-sharing best practices to peers within IT and consumers of cloud infrastructure. * Play a crucial role in defining and delivering on the roadmap for cloud infrastructure. * Work with the security team to ensure alignment with their vision of cloud management, including compliance. * Liaise with Engineering teams on their use and management of cloud infrastructure to find synergies. * Operationalize the security, management and monitoring of cloud infrastructure. * Take on the Subject Matter Expert (SME) role for cloud in IT and continue to develop broad and deep understanding where opportunities may exist or when new offerings come to market. QUALIFICATIONS: * Bachelor’s degree (or greater) in Computer Science, Information Technology, or a related field. * Proven experience as a Cloud Engineer with in-depth knowledge of at least two of; AWS, GCP, and Azure. * Strong understanding of cloud security best practices and compliance standards. * Experience in designing and implementing cost-effective solutions in cloud environments. * Proficient in troubleshooting and resolving cloud-related issues. * Excellent communication and collaboration skills. PREFERRED SKILLS: * Experience leading company-wide cloud initiatives. * Cloud certifications from AWS, GCP, and Azure. * Experience with DevOps practices and tools including Infrastructure as Code (IaC) solutions. * Familiarity with containerization technologies (e.g., Docker, Kubernetes). * Scripting and automation skills (e.g., Java, Python, Golang, PowerShell). #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com. ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
Lead Appian Development Consultant Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The Role: As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low-code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands-on and strategic role, that combines Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities: You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low-code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands-on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high-performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre-sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI-powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications: * Proven experience leading enterprise-scale Appian delivery programmes within complex consulting environments. * Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. * Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. * Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build-vs-buy decisions for custom plug-ins and setting integration standards for delivery teams to follow. * Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. * Skilled at establishing effective ways of working across blended teams (e.g. client staff, third-party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. * Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi-application landscape, and ownership of platform governance and design standards for other developers to follow. * Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. * Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. * Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. * Proven experience mentoring developers and leading high-performing technical teams. * Experience contributing to pre-sales, solution design, proposals or technical bid responses. * A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
Lead Appian Development Consultant Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The Role: As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low-code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands-on and strategic role, that combines Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities: You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low-code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands-on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high-performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre-sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI-powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications: * Proven experience leading enterprise-scale Appian delivery programmes within complex consulting environments. * Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. * Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. * Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build-vs-buy decisions for custom plug-ins and setting integration standards for delivery teams to follow. * Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. * Skilled at establishing effective ways of working across blended teams (e.g. client staff, third-party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. * Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi-application landscape, and ownership of platform governance and design standards for other developers to follow. * Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. * Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. * Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. * Proven experience mentoring developers and leading high-performing technical teams. * Experience contributing to pre-sales, solution design, proposals or technical bid responses. * A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
Lead Appian Development Consultant Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognised brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. The Role: As Lead Appian Consultant, you'll work alongside multidisciplinary teams of strategists, architects, engineers, analysts, designers and consultants, helping enterprise organisations modernise business operations through low-code technology, workflow automation and intelligent digital platforms. Our capability spans strategy, architecture, implementation and optimisation, helping clients transform complex operational processes into scalable digital solutions. We work across sectors including financial services, retail, healthcare, automotive, media and the public sector, delivering enterprise platforms that create measurable business outcomes. You'll provide technical and development leadership across complex transformation programmes. You'll shape solution architecture, guide delivery teams, mentor consultants and work directly with senior client stakeholders to define and implement enterprise Appian solutions. This is both a hands-on and strategic role, that combines Appian expertise with consulting, technical architecture and delivery leadership. Role Responsibilities: You are an experienced Appian leader who enjoys solving complex business challenges through enterprise automation and low-code technology. You bring strong technical credibility, leadership capability and a consulting mindset, enabling you to guide both clients and delivery teams through complex transformation programmes. You lead the design and architecture of enterprise Appian solutions, ensuring they are scalable, secure, maintainable and aligned with Appian best practices. While remaining hands-on where needed, you provide technical direction across delivery teams and support solution governance throughout the project lifecycle. You collaborate closely with architects, business analysts, product managers and engineering teams to design solutions that balance business objectives with technical excellence. You confidently facilitate technical discussions, challenge assumptions and help clients make informed technology decisions. You lead Agile delivery teams, supporting sprint planning, technical estimation, solution reviews, demonstrations and continuous improvement. You coach and mentor consultants, helping develop capability while fostering a collaborative, high-performing engineering culture. You take ownership of application quality, performance and operational resilience; overseeing deployments, Appian Health Checks, application optimisation and production support activities. Beyond project delivery, you contribute to the growth of Valtech's Appian practice through pre-sales support, technical proposals, reusable accelerators, capability development, thought leadership and participation within the wider Appian community. As technology evolves, you remain committed to continuous learning, exploring emerging Appian capabilities, AI-powered automation and modern engineering practices that help clients innovate faster. Must have Qualifications: * Proven experience leading enterprise-scale Appian delivery programmes within complex consulting environments. * Clear experience architecting Appian applications across Records, Record Types, Relationships, SAIL, Process Models, Sites, Reports and CDTs, with the ability to plan application structure for reuse and scale across multiple applications. * Strong understanding of relational databases, SQL, data modelling, stored procedures, triggers and views, with the judgement to decide when logic belongs in the database layer versus the application layer. * Experience designing enterprise integration architectures spanning multiple systems and Connected Systems, including evaluating build-vs-buy decisions for custom plug-ins and setting integration standards for delivery teams to follow. * Experience planning for scalability across data growth, user load and application extension over time, including proactive monitoring, application performance tuning, and CI/CD pipeline management across environments. * Skilled at establishing effective ways of working across blended teams (e.g. client staff, third-party vendors and other consultancies), setting collaboration norms, resolving friction between parties, and representing Valtech's delivery approach credibly to external stakeholders. * Strong understanding of Appian security implementation across data, interface and user levels, applied consistently across a multi-application landscape, and ownership of platform governance and design standards for other developers to follow. * Experience owning deployment workflows and CI/CD strategy across a programme, including environment strategy and release governance spanning multiple applications and teams. * Experience leading Agile Scrum delivery teams, including Sprint 0 activities, backlog refinement, estimation, sprint demonstrations and technical leadership. * Excellent stakeholder management skills with experience working directly with Product Owners, Architects, Engineering Leaders and senior client stakeholders. * Proven experience mentoring developers and leading high-performing technical teams. * Experience contributing to pre-sales, solution design, proposals or technical bid responses. * A passion for continuous learning, innovation and advancing Appian best practice across delivery teams. Commitment to reaching all kinds of people We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. About Valtech Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. Are you ready to create what’s next? Join us.
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