Sökresultat för "Streaming Architecture"

Valtech

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  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   We are seeking a GCP Solution Architect to lead the design and delivery of enterprise-scale cloud solutions within a public sector environment.  This is a hands-on, embedded role where you will work directly with client engineering teams to architect, design, and implement scalable, secure, and resilient cloud solutions. You will serve as both a technical leader and trusted advisor, guiding architecture decisions, influencing delivery outcomes, and helping stakeholders translate complex technical requirements into practical business solutions.  This role is ideal for someone who is equally comfortable working with engineers on implementation details and engaging senior stakeholders on roadmaps, trade-offs, and transformation strategy.  Role responsibilities * Provide hands-on architectural leadership embedded within client teams, from discovery through delivery  * Design and implement enterprise-scale cloud architectures, including application infrastructure, integration strategies, and secure deployment patterns  * Guide engineering teams on technical trade-offs, architecture decisions, and best practices  * Develop cloud adoption roadmaps, including hybrid and migration strategies where applicable  * Architect and support highly distributed, scalable systems in cloud environments  * Act as a trusted advisor to senior stakeholders, translating complex technical topics into actionable recommendations  * Partner with cross-functional teams to proactively manage risks, dependencies, timelines, and technical blockers  * Support the design and deployment of AI-enabled and data-driven solutions on GCP  * Collaborate with delivery, engineering, and customer teams to ensure solutions align with security, compliance, and operational requirements  * Contribute to long-term technical strategy and architectural direction aligned with business objectives    MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications:  * United States citizenship with the ability to work from the United States, required to meet customer and compliance requirements  * Ability to obtain a US Government Top Secret / Sensitive Compartmented Information (TS/SCI) clearance  * Google Cloud Professional Cloud Architect (PCA) certification required  * 5+ years of experience in solution architecture, technical consulting, cloud engineering, or enterprise architecture  * Strong hands-on experience with software development, including object-oriented programming (such as Python, Java, or C++)  * Proven experience designing and delivering enterprise cloud solutions  * Hands-on experience with Google Cloud Platform (GCP), including services such as:   * IAM  * Cloud Armor  * Security Command Center  * Chronicle  * Strong understanding of cloud-native security principles, DevSecOps, and regulatory compliance, including frameworks such as GDPR and HIPAA  * Hands-on experience with core GCP data services, including:   * * BigQuery, including advanced SQL, performance tuning, and BigQuery ML  * * Dataflow / Apache Beam, including batch and streaming pipelines  * * Pub/Sub and event-driven architecture  * Hands-on experience architecting and deploying AI solutions on GCP, including:   * * Vertex AI for model deployment, fine-tuning, evaluation, and observability  * * Gemini models for prompt engineering, structured outputs, function/tool calling, and multimodal use cases  * * BigQuery and Cloud Storage as data and grounding sources for AI workloads  * * Cloud Run, Cloud Functions, and Pub/Sub for orchestration of AI and agentic services  * * Enterprise-grade agent platforms, including grounding on customer data, integrating tools/connectors, and secure deployment patterns  * Demonstrated experience building AI-driven and agentic solutions in production, including:   * * LLM application development  * * RAG architectures  * * Structured and unstructured data pipelines  * Experience integrating AI systems with enterprise IT environments, including authenticated APIs, legacy data systems, and secure corporate infrastructure  * Strong stakeholder management, written communication, and presentation skills  * Bachelor’s degree or equivalent practical experience  * Ability to travel within the US 25–30% as needed for client delivery    NICE TO HAVE QUALIFICATIONS   * Experience supporting public sector, government, education, or highly regulated environments  * Experience with structured enterprise architecture practices, especially for hybrid cloud and on-premises-to-cloud migration roadmaps  * Deep knowledge of cloud services across:   * * Compute  * * Storage  * * Networking  * * Kubernetes and containerization  * Experience with large-scale migrations, modernization efforts, or cloud transformation programs  * Ability to engage effectively with both technical stakeholders and executive leaders  * Familiarity with enterprise technology evaluation, governance, and solution planning processes  * Strong curiosity and adaptability when working with emerging technologies, methodologies, and cloud-native solutions    If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  THE BENEFITS   This is a full time position based in the United States. The offered salary range is $150,000-$215,000 annually, depending on experience and location.  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 * Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts 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. If your skills and experience align with the role, we’ll reach out for next steps. 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: Only engage with official Valtech email addresses. 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.

Valtech

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  * Our borderless, global framework, which enables seamless collaboration    THE ROLE   We are seeking a GCP Solution Architect to lead the design and delivery of enterprise-scale cloud solutions within a public sector environment.  This is a hands-on, embedded role where you will work directly with client engineering teams to architect, design, and implement scalable, secure, and resilient cloud solutions. You will serve as both a technical leader and trusted advisor, guiding architecture decisions, influencing delivery outcomes, and helping stakeholders translate complex technical requirements into practical business solutions.  This role is ideal for someone who is equally comfortable working with engineers on implementation details and engaging senior stakeholders on roadmaps, trade-offs, and transformation strategy.  Role responsibilities * Provide hands-on architectural leadership embedded within client teams, from discovery through delivery  * Design and implement enterprise-scale cloud architectures, including application infrastructure, integration strategies, and secure deployment patterns  * Guide engineering teams on technical trade-offs, architecture decisions, and best practices  * Develop cloud adoption roadmaps, including hybrid and migration strategies where applicable  * Architect and support highly distributed, scalable systems in cloud environments  * Act as a trusted advisor to senior stakeholders, translating complex technical topics into actionable recommendations  * Partner with cross-functional teams to proactively manage risks, dependencies, timelines, and technical blockers  * Support the design and deployment of AI-enabled and data-driven solutions on GCP  * Collaborate with delivery, engineering, and customer teams to ensure solutions align with security, compliance, and operational requirements  * Contribute to long-term technical strategy and architectural direction aligned with business objectives    MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications:  * United States citizenship with the ability to work from the United States, required to meet customer and compliance requirements  * Ability to obtain a US Government Top Secret / Sensitive Compartmented Information (TS/SCI) clearance  * Google Cloud Professional Cloud Architect (PCA) certification required  * 5+ years of experience in solution architecture, technical consulting, cloud engineering, or enterprise architecture  * Strong hands-on experience with software development, including object-oriented programming (such as Python, Java, or C++)  * Proven experience designing and delivering enterprise cloud solutions  * Hands-on experience with Google Cloud Platform (GCP), including services such as:   * IAM  * Cloud Armor  * Security Command Center  * Chronicle  * Strong understanding of cloud-native security principles, DevSecOps, and regulatory compliance, including frameworks such as GDPR and HIPAA  * Hands-on experience with core GCP data services, including:   * * BigQuery, including advanced SQL, performance tuning, and BigQuery ML  * * Dataflow / Apache Beam, including batch and streaming pipelines  * * Pub/Sub and event-driven architecture  * Hands-on experience architecting and deploying AI solutions on GCP, including:   * * Vertex AI for model deployment, fine-tuning, evaluation, and observability  * * Gemini models for prompt engineering, structured outputs, function/tool calling, and multimodal use cases  * * BigQuery and Cloud Storage as data and grounding sources for AI workloads  * * Cloud Run, Cloud Functions, and Pub/Sub for orchestration of AI and agentic services  * * Enterprise-grade agent platforms, including grounding on customer data, integrating tools/connectors, and secure deployment patterns  * Demonstrated experience building AI-driven and agentic solutions in production, including:   * * LLM application development  * * RAG architectures  * * Structured and unstructured data pipelines  * Experience integrating AI systems with enterprise IT environments, including authenticated APIs, legacy data systems, and secure corporate infrastructure  * Strong stakeholder management, written communication, and presentation skills  * Bachelor’s degree or equivalent practical experience  * Ability to travel within the US 25–30% as needed for client delivery    NICE TO HAVE QUALIFICATIONS   * Experience supporting public sector, government, education, or highly regulated environments  * Experience with structured enterprise architecture practices, especially for hybrid cloud and on-premises-to-cloud migration roadmaps  * Deep knowledge of cloud services across:   * * Compute  * * Storage  * * Networking  * * Kubernetes and containerization  * Experience with large-scale migrations, modernization efforts, or cloud transformation programs  * Ability to engage effectively with both technical stakeholders and executive leaders  * Familiarity with enterprise technology evaluation, governance, and solution planning processes  * Strong curiosity and adaptability when working with emerging technologies, methodologies, and cloud-native solutions    If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn.  THE BENEFITS   This is a full time position based in the United States. The offered salary range is $150,000-$215,000 annually, depending on experience and location.  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 * Medical, dental, and vision insurance for you and your family, plus employer contributions to Health Savings Accounts 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. If your skills and experience align with the role, we’ll reach out for next steps. 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: Only engage with official Valtech email addresses. 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.

Stripe

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 Metronome, now part of Stripe, is the leading usage-based billing platform built for modern software companies. With Metronome, companies can launch products faster, offer any pricing model, and streamline finance workflows without writing code. Our platform computes millions of invoices per billing period and is scaling rapidly to accommodate new customers, saving them hours of development time and manual invoicing and enabling them to use consumption data to better serve their customers. Our customers love our product and approach, and we’re humbled to work with amazing companies like OpenAI, NVIDIA, Confluent, and Anthropic. WHAT YOU’LL DO As a member of our technical support engineering team, you will be on the front lines providing world-class customer service. As part of our engineering organization, you will become an expert on our product and partner closely with Metronome's engineers, customer success, solutions architecture, and growth teams, as well as our customers' developers. Your primary responsibilities will include handling customer escalations through our ticketing system, using internal observability tools to diagnose and scope customer-facing issues, collaborating directly with customers via Slack and other channels, and developing internal tools and documentation to improve the support experience. Since we view every support escalation as an opportunity to learn, both as individuals and as a company, you will play a critical role in providing feedback to our product team on common challenges and influencing our product roadmap. Through your interactions with individual customers, you will help improve our product for everyone. Your work will play a crucial role in ensuring our customers' success and the continued effectiveness of their integration with Metronome. RESPONSIBILITIES * Provide technical guidance to customers’ developers on best practices for integrating with our APIs and utilizing our functionality. * Troubleshoot any issues that arise from customers and diagnose any blockers. Escalate issues with customer context to the engineering team. * Develop internal tools to automate customer workflows that are currently unavailable in our product. Provide feedback on recurring patterns and advocate for addressing feature gaps in the product. * Design and assist in implementing a comprehensive knowledge base to assist customers with using our product. 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 * 2+ years of work experience in a B2B customer-facing technical support organization or in engineering * Experience working closely with engineering teams and providing technical feedback on customer issues * Ability to debug and triage bugs and escalations from customers * Can communicate technical capabilities of the product to customers * Experience writing scripts or internal tools using APIs, and functional knowledge of SQL * Strong written and verbal communication skills, with the ability to break down complex technical concepts clearly * A mindset of customer empathy and ability to solve challenging problems PREFERRED QUALIFICATIONS * Experience as an early or founding member of a support team, including building processes from scratch * Startup experience and familiarity with scaling a support team * Programming experience in one or more of Typescript, Python, or Ruby * You have worked on modern enterprise software which is business critical * Experience creating knowledge base articles and internal documentation * Familiarity with at least one ticketing system, such as Pylon, Zendesk, Front, or similar

Adyen

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition.  For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Staff Engineer - Customer Interfaces As a Staff Engineer for Customer Interfaces (CI), you will lead the evolution of the Adyen experience from a traditional dashboard into an intelligent, conversational financial partner. We are looking for a product engineer who can wear an architectural hat to build Agentic Workflows and manage backend orchestration (specifically Tool-use, Chains, and Policy Layers). This role is essential for transforming natural language inputs into authenticated, secure financial operations. What you'll do * Drive Intelligent Experiences: Lead the next generation of conversational UIs at Adyen. You will build Generative UIs that adapt in real-time, moving beyond static dashboards to create streaming, multi-modal experiences where the interface itself is a dynamic partner in the conversation. * Bridge Architecture & Innovation: Act as the primary technical liaison for AI initiatives, coordinating their integration and ensuring operational excellence with teams in different areas and global geographies. You will ensure that "intelligent modules" built in are the gold standard for performance and extensibility. * Zero-Trust for AI: Architect the security layer for conversational interfaces. You will solve the unique challenge of maintaining strict financial data privacy and "Zero Trust" principles while leveraging LLMs and advanced data processing. * Product Strategy & "The Art of the Possible": Partner deeply with the Head of Product to identify high-impact flows. You aren't just implementing designs; you are identifying where intelligent automation can solve "impossible" merchant problems. * Full-Stack Leadership: Own the end-to-end technical lifecycle. From backend services and data pipelines that feed our insights, to the frontend components that render them. * Global Influence: Mentor engineers and coordinate with global hubs to drive technical standards that benefit the entire Adyen ecosystem. WHO YOU ARE * Product-Minded Architect: You think in terms of user outcomes. You have a track record of partnering with product teams to turn ambiguous goals into robust technical reality. * Applied AI Experience: You have experience (or a deep technical interest) in building production-grade interfaces powered by LLMs, including harnesses, policy enforcement, evals, RAG architectures and secure data handling. * Full-Stack Powerhouse: Deeply proficient in Java for secure backend services and TypeScript/React/Vue for complex front-end applications. * Security First: You have a "security-by-design" mindset, particularly regarding the handling of sensitive financial data in modern web environments. * Entrepreneurial & Autonomous: You will be a core member of our growing San Francisco team, where you will be expected to operate with speed and autonomy. Success in this role requires you to effectively navigate and collaborate with a large, global organization. This role's annual base salary range is $258–$367k, plus RSUs. To learn more about our compensation philosophy, please click here. Our Diversity, Equity and Inclusion commitments  Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen.  Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. You must be work authorized in the United States without the need for new visa sponsorship. The company can support visa transfers but will not sponsor individuals for H-1B CAP applications. SAN FRANCISCO  Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote only roles

Valtech

SENIOR DATA ARCHITECT — SNOWFLAKE & AI (ALL GENDERS) 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. * Lead high-impact data architecture mandates for some of the world's most recognised brands and major enterprise accounts — including luxury, retail, and global B2B leaders. * Work at the forefront of AI-augmented data engineering, leveraging the latest Snowflake Cortex capabilities. * Collaborate with a senior network of data, AI, and strategy experts across Valtech's global practices. * Shape how our clients' data teams operate — not just deliver a project but build lasting capability. * Develop your consulting and technical expertise with full support from Valtech's Academy and community of practice. 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   As a Senior Data Architect — Snowflake & AI (all genders), you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring +10 years of experience, a growth mindset and a drive to make a lasting impact. As part of our Data & AI practice, you will work with major enterprise clients and global strategic accounts to help them transform and future-proof their data platforms — bringing both deep Snowflake mastery and strategic consulting expertise. You will act as lead architect and trusted advisor, guiding clients from data strategy through hands-on implementation, while championing AI-augmented engineering practices through Snowflake Cortex. You will thrive in this role if you are:  * A curious problem solver who challenges the status quo  * A collaborator who values teamwork and knowledge-sharing  * Excited by the intersection of technology, creativity and data  * Experienced in Agile methodologies and consulting (a plus)  ROLE RESPONSIBILITIES Consulting & Advisory * Lead data architecture engagements as the primary client-facing consultant, owning the relationship with technical and business stakeholders. * Define and communicate data strategies aligned with client business objectives — from initial framing to executive presentation. * Facilitate workshops, conduct discovery sessions, and co-create transformation roadmaps with client teams. * Build and deliver structured consulting deliverables: architecture blueprints, AI-readiness assessments, governance playbooks, prompt libraries. * Coach and upskill client data engineers on modern data practices, AI tooling, and Snowflake Cortex capabilities. * Serve as the escalation point for complex architectural decisions, ensuring alignment across business, IT, and data teams. Technical Architecture & Engineering * Design and implement enterprise-grade Snowflake data architectures (data warehouse, data lakehouse, data mesh patterns). * Lead the adoption of Snowflake Cortex for AI-native use cases: LLM-powered pipelines, intelligent data agents, and automated data workflows. * Define data modeling standards (dimensional modeling, data vault, star schema) and govern their application across teams. * Architect and oversee scalable ELT pipelines using dbt, Fivetran, and custom connectors. * Drive data governance, access controls, security, and cost management best practices within Snowflake. * Implement data quality frameworks and observability tooling (Monte Carlo, Datafold) with full lineage tracking. * Establish CI/CD practices and DevOps standards for data platform deployments. MUST HAVE QUALIFICATIONS To be considered for this role, you must meet the following essential qualifications: * +10 years of experience in data engineering or data architecture, with at least 5 years in a client-facing consulting or advisory role. * Expert-level mastery of Snowflake: architecture, performance tuning, access controls, security, and Cortex AI features. * Proven ability to lead complex data transformation programs from design through delivery. * Strong experience with dbt, Fivetran/Stitch, Airflow, or equivalent orchestration tools. * Deep knowledge of data modeling techniques and modern data stack best practices. * Excellent communication and facilitation skills in French and English (C1) — able to present architecture choices to a CTO and explain them to a data engineer. * Demonstrated ability to build trust with clients and drive organisational change. What makes you stand out * You think like a consultant first, an engineer second — you shape solutions, not just build them. * You have delivered transformation programs leaving behind a playbook, a trained team, and measurable outcomes. * You are energised by working across multiple client environments and bringing cross-industry patterns to each engagement. * You can challenge a client's thinking constructively while maintaining trust and momentum. * You have a genuine curiosity for AI, generative models, and the future of data engineering. NICE TO HAVE QUALIFICATIONS * Hands-on experience with Snowflake Cortex AI features: LLM Functions, Cortex Analyst, Cortex Agents. * Knowledge of agentic AI frameworks, prompt engineering, and AI-assisted data engineering workflows. * Experience with reverse ETL platforms (Hightouch, Census) and CDP architectures. * Familiarity with streaming data platforms (Kafka, Kinesis, Pub/Sub) and real-time data patterns. * Cloud platforms experience (GCP, AWS, Azure) and their native data services. * Knowledge of data catalog and governance tools (Alation, Collibra, DataHub). * SQL fluency and Python scripting proficiency. PREFERRED CERTIFICATIONS * Snowflake SnowPro Core + Advanced/Architect (strongly preferred). * dbt Analytics Engineering certification (a plus). If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 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 permanent position based in Paris/France. 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. If your skills and experience align with the role, we’ll reach out for next steps. ⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses ending in @valtech.com. 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. As per the AGG (General Equal Treatment Act) in Germany and equivalent in France, jobs must be advertised in a gender-neutral manner. We use the statement (all genders) to make it clear that this position is open to all genders in these countries, even if the job title itself can be translated or interpreted as "masculine" in the French or German language.

Stripe

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.

Valtech

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.

Valtech

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.

Valtech

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.

Valtech

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.

Adyen

THIS IS ADYEN Adyen is the financial technology platform of choice for leading businesses, providing payments, data, and financial products in a single solution for global customers like Meta, Uber, and H&M. At Adyen, everything we do is engineered for ambition. We create an environment with opportunities for our people to succeed, backed by a culture that encourages ownership and provides the support to truly own your career. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team, delivering innovative and ethical solutions that help businesses achieve their ambitions faster. ABOUT THE ROLE  We are seeking a highly skilled and enthusiastic Staff Software Engineer with a strong background in building reliable, scalable, and low latency systems and hands-on experience in Machine Learning (ML) applications. In this role, you will play a critical part in designing, building, and scaling systems that leverage ML to solve real-world business challenges. You are someone who is curious about new technologies, eager to learn, and passionate about using technology as a practical tool to drive meaningful business impact. You enjoy solving complex problems and thrive in environments where innovation, continuous learning, and collaboration are key. THE OPPORTUNITY  Adyen is building out its capabilities in data-driven risk management to combat financial crime and fraud across its platform. We operate at a massive global scale, enabling businesses around the world to accept payments, issue cards, and embed financial products, helping millions of business owners around the globe do business with less friction. While we have foundational elements in place, we have recently shifted our strategy to take a more holistic approach to proactively detect and mitigate financial crime and fraud.  KEY RESPONSIBILITIES * Design and develop robust, scalable software systems that integrate Machine Learning models into production environments. * Collaborate closely with product managers, data scientists, and business stakeholders to understand business problems and translate them into technical solutions. * Evaluate new technologies, frameworks, and tools, and drive their adoption where appropriate to solve real business challenges. * Mentor and guide junior engineers and peers through technical leadership and knowledge sharing. * Advocate for best practices in software engineering, and system architecture. * Continuously learn and stay up-to-date with advancements in software engineering, infrastructure, and AI technologies. * Lead technical design discussions and contribute to the strategic direction of the technology roadmap. * Close cross functional collaboration with different, non-technical functions like Account Management, Compliance, Operations etc. REQUIREMENTS * At least 10-12 years of extensive industry hands-on experience in Software Engineering and building data intensive applications, including system design, architecture, and development.  * Experience with building scalable, reliable, and low latency systems. * Strong programming skills in Java. (Python is a plus) * Experience in incident management. * Experience working with and using SQL and NoSQL databases like Postgres and Cassandra. * Knowledge of streaming & queuing frameworks.  * Deep curiosity and drive to continually learn new technologies and techniques. * Familiarity with data engineering concepts, big data tools (like Spark), and distributed data architectures. * Passion for applying technology to solve real business problems in a pragmatic and impactful way. * A good product sense and the ability to understand how research can translate into valuable applications. * Excellent communication skills and a collaborative mindset. WHY ADYEN? This is an exceptional opportunity to join a solid, established company with a startup mindset, characterized by small teams, direct communication, and work on important challenges. You’ll have direct access to massive global datasets (e.g., payments, identity data) and the ability to see your work have an immediate impact at scale. We offer an environment of ownership and speed, where a focused research team can make a significant difference. You will be at the forefront of bridging AI and fintech, shaping how these two critical areas intersect. We are looking for individuals who are eager to stay connected to the edge of innovation while ensuring we deliver practical value to our global platform.  ABOUT THE TEAM We work in the financial Crime and Fraud department. As a financial institute, we provide products to store and move finances. This comes at a risk. Fraudsters and criminals can misuse our platform to do financial crime like money laundering, and fraud like taking funds that do not belong to them. We need to be one step ahead of the fraudsters and we are also liable to report any detection of financial crime. We leverage our huge amount of data to identify actors using our platform, mitigate crime and catch fraud cases without creating friction for our genuine customers. In order to do this in a scalable and reliable manner, we have teams dedicated to figuring out the customer behind any event that goes through Adyen, do risk assessment, and make good judgement in real time as well as after the event has taken place. Day to day we work with Java, Postgres, Cassandra, Kafka, RabbitMQ, Big Data Platform, Machine Learning to equip ourselves with the right tools.  OUR DIVERSITY, EQUITY AND INCLUSION COMMITMENTS Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! WHAT’S NEXT? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility. This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Stripe

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 Stream Compute team at Stripe builds and operates the infrastructure, tooling, and systems behind our Flink-powered stream processing systems. We're at the heart of several core asynchronous workflows, operating at significant scale and handling vast amounts of sensitive financial data. Our work powers intricate processes involving various critical financial operations and real-time analytics. We run globally distributed systems with high reliability and performance to meet Stripe's scaling, availability, and product needs, and we continually reduce operational toil by investing in automation and self-service tooling for upgrades, maintenance, and day-to-day operations. The team is distributed between Seattle, Toronto, and remote locations. What makes our team truly exciting is our commitment to our users: we ensure no event is dropped, state integrity is preserved, and exactly-once processing is supported as a first-class feature. Working at the intersection of real-time data processing and fintech innovation, we continuously push the boundaries of what's possible. Our focus on innovation, user experience, reliability, and compliance drives increased ROI and operational excellence, making us a crucial part of Stripe's success. WHAT YOU'LL DO You'll help define and deliver the next generation of Stripe's Flink-first stream compute infrastructure—driving innovation to meet extremely high availability targets at global scale. Partnering with infrastructure engineers, adjacent platform teams, and the product orgs that depend on Flink every day, you'll set a long-term technical direction that scales with Stripe's growth while enabling reliable, efficient operations for years to come. You'll work on the hardest problems in operating Flink in production—state management, exactly-once processing, performance isolation, and automated recovery—so teams across Stripe can confidently build stateful stream processing applications on top of it. RESPONSIBILITIES * Design, build, and operate stream compute infrastructure with Apache Flink at the center, alongside technologies like Kafka, Temporal, and AWS services * Partner with product and platform teams across Stripe to understand requirements, unblock Flink adoption, and improve how stream processing infrastructure is used end-to-end  * Define and implement operational best practices (e.g., shuffle sharding, cellular architecture, load shedding, automated state recovery) to improve resilience and reliability at scale  * Drive fleet-level automation and standardization ("pets" to "cattle") through self-service workflows, safer rollouts, and self-healing systems that reduce manual operations  * Lead initiatives that raise the bar on Flink availability and state durability (e.g., multi-region strategies, disaster recovery readiness, operational readiness reviews, incident learning)  * Evaluate and productionize Flink ecosystem capabilities (e.g., SQL, connectors, state backends) to improve developer experience and scalability without compromising reliability  * Work closely with the open-source community to identify opportunities for adopting new open-source features and contributing back to OSS 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 * This is a Staff-level role—that typically means 10+ years of experience building, operating, and evolving large-scale production systems.   * Experience as a technical lead for team(s) working on distributed systems, including scaling them in fast-moving environments * Hands-on experience with big data technologies such as Flink, Spark, Kafka, Pulsar, or Pinot * Experience developing, maintaining, and debugging distributed systems built with open-source tools * Experience building and scaling infrastructure as a product • Strong software engineering skills and a passion for big data distributed systems * Ability to write high-quality code (in programming languages like Go, Java, Scala, etc.) * Comfortable operating with high autonomy and ownership * Growth mindset and a willingness to learn quickly, explore ambiguous problem spaces, and dive deep when needed * Strong written and verbal communication skills, including the ability to produce clear technical documentation PREFERRED QUALIFICATIONS * Experience operating streaming infrastructure as a platform (e.g., Flink clusters, Kafka, Pulsar) for internal customers at scale * Deep hands-on experience authoring, optimizing, and operating real-time processing frameworks such as Flink, Spark Streaming, Storm, or Kafka Streams in production * Experience building or operating control planes for managing large-scale infrastructure * Open-source contributions to data processing or big data systems (Hadoop, Spark, Celeborn, Flink, etc.)

Stripe

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 Our Applied ML team aims to reform how our users interact with Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include helping our users resolve issues with Stripe faster or making it easier for our users to sign up and navigate Stripe. We are using the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production. You can learn more about our team’s work from this recent talk. WHAT YOU’LL DO As a machine learning engineer, you will be responsible for analyzing opportunities, proposing ideas, training & evaluating ML models, running experiments, and deploying everything to production. You will also have the opportunity to contribute to and influence ML architecture at Stripe as well as be a part of a larger ML community. RESPONSIBILITIES Our team operates fluidly and here are some problems you may tackle: * How do we evaluate a system offline & online? * How do we improve performance to match (and beat) humans? * How do we ensure model quality doesn’t degrade online? * Does fine-tuning an LLM give us better performance? * What are the right OSS and in-house platforms we should invest in? And in the process you will: * Develop pipelines and automated processes to train and evaluate models in offline and online environments * Integrate ML models into production systems and ensure their scalability and reliability * Collaborate with product and strategy partners to propose, prioritize, and implement new product features * Engage with the latest developments in ML/AI and take calculated risks in transforming innovative ML ideas into productionized solutions WHO YOU ARE We are looking for ML Engineers who are passionate about using ML to improve products and delight customers. You have experience developing streaming feature pipelines, building ML models, and deploying them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action. MINIMUM REQUIREMENTS * Have at least 3 years of experience shipping ML systems in production * Hold yourself and others to a high bar when working with production systems * Take pride in taking ownership and driving projects to business impact * Thrive in a collaborative environment PREFERRED QUALIFICATIONS * 5+ years of experience in full time software development roles * Experience shipping LLM integrations to user products with high quality * Experience operating in highly ambiguous environments * Knowledge about driving a hypothesis from data

RaySearch Laboratories AB (publ)

RaySearch develops innovative software solutions to improve cancer care. About 1000 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe and Asia - Pacific. Today we are more than 400 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination. RaySearch develops a suite of cancer care software, and we are now looking to add more talented developers to our oncology information system RayCare, specifically to our Core team which is responsible for framework development.   About RayCare RayCare is a client-server application that runs on premises at many clinics all over the world. RayCare takes care of and helps clinical staff to coordinate their work at the clinic. For example, workflow management, patient chart details and treatment management. RayCare is an innovative oncology information system (OIS) designed to support the complex challenges of modern oncology clinics. It is developed to streamline workflows in cancer clinics to facilitate efficient care faster to more patients. RayCare is used by all staff at the clinic, e.g., physicians, physicists, treatment planners etc. and is used in all steps of patient care, from registration to radiation treatment at the treatment machine and for treatment follow-up. RayCare is integrated with RayStation and its treatment tools but also with external products and supports communication via HL7 as well as DICOM.   In the Core team you will mainly work with developing and improving our mission-critical event sourcing and micro service framework as well as installation and security aspects for the RayCare product.  As a part of the Core team, you have the possibility to work with a variety of interesting and challenging tasks together with talented colleagues and contribute to evolving the platform and ensuring that it meets the high requirements on patient safety, robustness, performance, and availability.  Responsibilities  As a core team developer, you will be part of designing and implementing a robust and modern software platform for our oncology information system. We believe you are a hands-on system developer with great problem-solving skills and a meticulous and structured approach. RayCare has high demands on sustainable software development ensuring excellent code quality and maintaining best practices. In your everyday work, you continuously contribute to good overall software design with the goal of achieving a highly structured large scale software product. You are always open to discuss overall design within and between teams, valuing collaboration and your colleagues input to find the best solution for the problem at hand.    Your profile You have excellent analytic skills and can identify different components of problems, see connections between them, and understand the impact of various proposed solutions. You take responsibility for your work, ensuring that nothing is overlooked when implementing new functionality. You value collaboration, share knowledge with you team, and take pride in delivering high-quality code that supports the teams’ and organization's goals. Requirements: M.Sc. in Computer Science, Engineering physics or equivalent academic degree   Minimum five years of backend development experience with complex products   Expertise in C#/.NET  Proficient with SQL Server  Experience with client-server based systems  Knowledge of domain-driven design  Knowledge of event-sourcing  Knowledge of CQRS/CQS Meriting: Experience of working in an agile environment  Experience from the MedTech-industry or other regulated industries   Experience of framework development of mission critical systems   Experience from microservice architectures   High performance computing (multi-threaded/async software)  Messaging systems such as RabbitMQ  Experience with security technologies such as; OpenID Connect, certificates, OpenIddict  Our Culture Culture at RaySeach is the driving force behind our organization, where everything we do is driven by a shared passion for innovation and the fight against cancer. Our dedication is reflected in our ability to deliver exceptional results, pay close attention to detail, and consistently go the extra mile. Our employees stand out as experts in their field, driven by a relentless focus on solving problems - no matter how complex. At RaySearch, we take pride in leading the way in cancer treatment, leveraging cutting-edge technology to develop innovative solutions that make a real difference in patient care. Our Offer At RaySearch, we offer a diverse and inclusive work environment, fostering openness, sincerity, and collaboration. Located in Hagastaden, Stockholm's Life Science Hub, our modern and creative workspace includes an in-house gym, yoga, and social activities like ping pong, table football, and regular after-work events. Our bistro serves a fantastic lunch buffet, and we offer morning- and afternoon-fika every day. Our rooftop terrace also provides a stunning 360-degree view of Stockholm, enhancing the work experience. All of this comes attached with a competitive compensation and benefits package. Application Please apply to the position through the application form below. We do not accept applications by e-mail. Selection and interviews will be ongoing.

PostNord Group AB

Are you passionate about driving change? Do you thrive in a dynamic environment where you can shape the future of logistics and how parcels are delivered – both physically and from an information perspective? Look no further! PostNord, the leading supplier of communication and logistics solutions in the Nordic region, is searching a talented System Architect to join our ongoing transformation journey. Join us Postnord is undergoing a large transformation within the Production domain to modernize and harmonize our IT across the Nordics. We are leaving a monolith-centric past and entering into a streaming and microservice based future in the cloud. As a System Architect in the Production Core unit, you will be in the heart of production, creating data structures and information flows that impact how systems interact and collaborate. You will be working from operational all the way to strategic level. In collaboration with others, you will be taking decisions with immediate implications on agile development team’s backlogs.   Job duties Central to PostNord’s new architecture, is a streaming based Data Platform where all messages are governed by a schema registry. Schemas decide what information is being exchanged between sub-domains within PostNord. The underlying data model is under development and will continue to evolve on the maturity timeline. To be effective, the model must cater for business needs, while at the same time being lean and straightforward. You as System Architect will primarily have focus on strengthening the Data Streaming platform for long term relevance. With hands-on experience on the platform tech-stack, you will explore different ways to further increase the usability for downstream services. You will work closely with business, architects on different levels and development teams. An important area will be to develop the forementioned data model and ensure high data quality. You will make sure that agreed company-wide architecture principles and guidelines are followed, while also innovating and challenging status quo. In this role, you will be in a good position to play an important role in our ongoing tech-transformation and our future success! Must-have Experience in working with Data Streaming platforms like Apache Kafka or Confluent Strong understanding of event driven architectures on a large enterprise scale Experience in working with information models and data governance including documenting current data flows and creating a wanted state to work towards Experience in transaction intensive IT Systems Experience in driving organizational tech-transformations   Excellent communication skills with strong stakeholder management abilities Strong integrity and analysis skills Urge to understand and model business needs Understanding of the importance of weighing both functional and non-functional requirements Nice-to-have Experience in the logistics or supply chain industry. Experience in building Micro-Service based architecture Fluency in Swedish Knowledge requirement Civil Engineering, bachelor’s degree in computer science (as a minimum), or equivalent Fluency in English, both written and spoken. We offer you We offer a variety of work in an international environment with constantly new challenges and quick decisions. Here you have opportunities to develop creative solutions and work in a prestige-free group where we jointly help to reach our goals. PostNord is one of Sweden's largest workplaces and we offer safe employment conditions and benefits. In addition to the benefits mentioned above, we offer: Hybrid workplace with a Nordic and dynamic environment. Watch the video about our office. Great development opportunities Great insurance and occupational pension terms Wellness allowance & opportunity to train at Arken's gym and indoor swimming pool Employee benefits through PostNord Plus - PostNord´s own personnel foundation We make everyday life easier PostNord is the leading supplier of communication and logistics solutions to, from, and within the Nordic region. We ensure the provision of a postal service to households and businesses in Sweden and Denmark. We aim to make everyday life easier and more sustainable for everyone who lives and works in the Nordic region. We are in a constant transformation and work consistently to develop both our offer and our employees, all to achieve our vision of being The favorite carrier of the Nordics. We are PostNord - a fantastic company to work and grow with. Read more at postnord.com Apply We look forward to receive your application! Due to the summer vacation period, you can expect feedback the earliest in mid-August. If you have any questions or concerns, please contact manager Carolina Lunde on carolina.lunde@postnord.com. For union representatives, visit: www.postnord.com/fackliga We are looking forward to hear from you! 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.

Betsson

THE WOW As an Observability DevOps Engineer specializing in observability platforms, you will play a pivotal role in enhancing the visibility, reliability, and performance of our systems and applications. Leveraging your expertise in modern technologies and protocols, you will be responsible for implementing, and maintaining robust observability solutions to monitor, analyse, and troubleshoot our distributed systems.  This position requires passion about leveraging observability platforms to drive operational excellence and thrive in a dynamic, collaborative environment. It also requires strong technical skills in AWS, Terraform, Git workflows, and a deep understanding of DevOps principles.  Our Product Development organisation is truly Global with cross functional teams spanning 6 Tech Hubs – Malta, Budapest, Stockholm, Tallinn, Kyiv and Athens. With around 1,000 professionals, the technology organisation is spear-headed by our CTO-CPO with all our talented Area Teams working together.   A TASTER OF WHAT YOU WILL BE INVOLVED WITH:  * Design, deploy, and maintain observability platforms and tools such as Prometheus, Grafana LGTM+ stack, OTel and others to provide comprehensive insights into system behaviour and performance. * Collaborate with development, operations, and other cross-functional teams to integrate observability solutions into the CI/CD pipeline and automate monitoring and alerting processes.  * Develop custom monitoring solutions and instrumentation libraries to capture relevant metrics, logs, traces, and events across microservices architectures.  * Configure and optimize telemetry collection, storage, and visualization components to ensure scalability, reliability, and cost-effectiveness.  * Implement anomaly detection algorithms and predictive analytics to proactively identify and mitigate potential issues before they impact users.  * Conduct thorough root cause analysis of incidents and performance bottlenecks, leveraging observability data to drive continuous improvement initiatives.  * Stay abreast of emerging trends, best practices, and industry standards in observability, and assess their applicability to our environment.  * Provide mentorship and technical guidance to junior team members, fostering a culture of knowledge sharing and collaboration.  * You will be expected to form part of a 24/7 on call roster to support your engineering team during out of office incidents calls   * Drive automation initiatives using Terraform, Git workflows, and other DevOps tools to streamline deployment processes and improve operational efficiency.    WHAT WE ARE LOOKING FOR Hands on experience with most of the following technologies:  * * AWS   * Kubernetes    * Helm   * Ansible    * Proficiency in scripting languages such as Python, Bash, or Go for automation and tooling development.  * Hands-on experience with containerization and orchestration technologies (e.g., Docker, Kubernetes) in cloud-native environments.  * Strong understanding of distributed systems architecture, networking concepts, and security principles.  * Familiarity with modern observability protocols and standards, including OpenTelemetry for unified observability.  * Expertise in configuring and managing monitoring solutions like Prometheus, Grafana LGTM+ stack, and APM tools.  * Experience with infrastructure as code (IaC) tools such as Terraform or Ansible for provisioning and configuration management.  * Knowledge of eBPF (extended Berkeley Packet Filter) for deep observability into the Linux kernel and user-space applications.   WHAT WE OFFER Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 3,000+ strong, spread across 7 offices with 1,500 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.   CHALLENGE ACCEPTED? By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy