Search results for "Geospatial Data"

Om företaget Hos Avaron får du tryggheten i en fast anställning kombinerat med variationen av att arbeta ute hos olika kunder. Vi tillsätter specialister inom allt från teknik, IT och industri till projektledning och affärsstöd – och oavsett uppdrag har du en konsultchef som finns där för dig och din utveckling. Om rollen Du kommer in i ett pågående införande av digitala detaljplaner och geodataplattform i en kommunal samhällsbyggnadsmiljö där flera verksamhetsområden behöver samverka i en gemensam lösning. Fokus ligger på att färdigställa införandet av WEB-GIS baserat på ArcGIS och samtidigt skapa en plattform som är förvaltningsbar, informationssäker och driftsäker. Här får du en central roll i att hålla ihop införandet, samordna olika intressenter och säkerställa att lösningen fungerar både tekniskt och verksamhetsmässigt. Det här är ett uppdrag för dig som vill kombinera projektledning, geodatakompetens och verksamhetsförståelse i en miljö där ditt arbete får tydlig påverkan. ArbetsuppgifterDu leder implementeringen av en ny geodataportal och driver arbetet framåt i nära samverkan med projektgruppen. Du samordnar och fördelar uppgifter inom projektet för att skapa struktur, tempo och tydliga leveranser. Du koordinerar införandet mot berörda verksamheter och ser till att lösningen möter behoven inom samhällsbyggnadssektorn. Du bidrar till utvecklingen av en geodataplattform som är förvaltningsbar, informationssäker och driftsäker. Du stöttar arbetet med att knyta ihop verksamhetsbehov, GIS-processer och tekniska lösningar i en sammanhållen plattform. KravErfarenhet av projektledning inom geodataområdet. Erfarenhet av införande av programsystem inom geodataområdet. Erfarenhet av utveckling och systemförvaltning inom geodataområdet. Erfarenhet av ArcGIS programsystem och Portal plattform. Verksamhetskunskap inom GIS, MBK och planverksamhet inom kommunsektorn. Kännedom kring arkitektur och tekniska lösningar för geodataplattform. Kunskap och erfarenhet av de behov som en kommun av motsvarande storlek har av geodata och GIS-system. Förståelse för digitaliseringsbehov inom samhällsbyggnadssektorn där olika verksamhetsområden ska kunna integreras i en geodataplattform. Flerårig erfarenhet, minst 10 år, av kommunala GIS-system och samordning av dessa. Flerårig erfarenhet av ArcGIS produkter och WEB-plattform för kartstöd. Flytande svenska i tal och skrift. MeriterandeErfarenhet av GIS- och kartstödsarbete inom samhällsbyggnadssektorn i kommunal verksamhet. Kännedom om arbetssätt och processer kring GIS i en liknande kommunal miljö. Vi erbjuderFast anställning hos Avaron AB Tjänstepension Friskvårdsbidrag på 5 000 kr per år Ansökan Vi tillsätter löpande – sök gärna så snart du kan.

About the role The objective of this position is to strengthen the team’s capacity to develop and apply data-driven and systems-based approaches across water, coastal and marine domains – including federated data systems, decision-support tools and geospatial analysis – while contributing to project leadership and new funding opportunities. The researcher will work across the team’s three pillars and multiple projects, bringing methodological coherence to data-intensive work and reducing dependence on the team lead for analytical coordination. About the team The Water, Coasts and Ocean Team works across three thematic pillars: Resilient Infrastructures, One Water and Blue Economy. Across these pillars, the team addresses increasingly complex challenges involving data integration, cross-sectoral cooperation and digital decision-support – from freshwater systems and coastal resilience to offshore infrastructure and critical national services. Several funded projects now require integrated capacity in data (systems, modelling and governance). Recruiting a researcher with strong expertise in data systems is a strategic priority for delivery, proposal development and analytical leadership. Key responsibilities Lead and contribute to data systems work: integration, interoperability, security and application in decision-support tools across sectors Apply and promote FAIR data principles (Findability, Accessibility, Interoperability, Reusability) and related standards in project data management Develop and implement digital and data-driven approaches for infrastructure risk assessment, resilience planning and coastal and marine management Contribute to SAFEWIN’s development of federated learning approaches for cross-sectoral data cooperation in sensitive infrastructure contexts Contribute to KRAFT’s analysis of data management challenges and cascading risks across critical infrastructure systems Engage with Swedish and international stakeholders, including public agencies, research partners and practitioners Translate complex data and modelling outputs into policy-relevant insights, project reports, publications and stakeholder-facing materials Contribute to proposal development and fundraising for new projects Support project coordination and supervision of junior researchers where relevant What we are looking for We do not expect candidates to have expertise across all areas listed. We are particularly interested in candidates with strong foundations in either data systems and digital methods or the governance and application of digital tools, combined with a demonstrated ability to work across disciplinary and sectoral boundaries. Experience in or genuine interest in water, coastal, marine or critical infrastructure contexts is valued but not required. Essential PhD in data science, environmental informatics, computer science, infrastructure systems or a related field; candidates without a PhD must demonstrate equivalent independent research experience, including a track record of securing funding Strong experience with data integration, modelling, spatial analysis or the development of digital decision-support tools Experience eliciting user requirements and translating them into analytical methods, digital tools or decision-support products Experience working with data from complex, multi-sectoral or infrastructure-related contexts Working proficiency in at least one programming or scripting language (e.g. Python, R) for data analysis or tool development Ability to lead analytical work packages within interdisciplinary research projects Familiarity with data governance, metadata standards, interoperability frameworks and data architectures supporting the sharing and use of data across organizations or sectors Experience contributing to or leading research funding proposals, with a track record of securing funds at a scale commensurate with career stage Strong publication record or equivalent output in applied research settings Excellent written and oral communication skills in English Desirable Experience with federated learning, privacy-preserving computation or cross-sectoral data governance Familiarity with GIS and geospatial data tools Background in or demonstrable familiarity with critical infrastructure systems, offshore energy, marine monitoring or defence-adjacent data environments Working proficiency in Swedish Who you are This is a cross-cutting role open to candidates at mid- or senior-researcher level. Both levels are genuinely considered; the appointment will reflect the experience and profile of the successful candidate. The ideal candidate at either level combines technical depth in data systems with the ability to engage meaningfully with governance, policy and stakeholder dimensions – and to translate between these registers. The role sits at the technical–policy interface that characterizes SEI’s comparative advantage. We are not looking for a pure engineer or a pure policy analyst, but someone who understands data systems well enough to make credible technical contributions and is intellectually curious about the institutional, political and governance dimensions of how data is managed and shared in complex settings. Mid-level researcher – A mid-level researcher will have demonstrated the ability to work independently on analytical and data-intensive tasks within research projects. They will have some experience contributing to funding proposals and may have secured smaller grants or project components, though not necessarily in a leading role. They may have worked within teams or independently without formal management responsibilities, and will have an emerging publication record or equivalent demonstrated output in applied research settings. Senior researcher – A senior researcher will have a demonstrated track record of independently mobilizing research or innovation funding, including having led funding applications, not only participated in teams led by others. They will have successfully secured funds both for their own work and to support others, and will have held leadership positions with responsibility for more junior staff. They will have built a recognized area of work, evidenced through a sustained publication record, a portfolio of funded projects or equivalent standing in applied or policy research communities.

We are looking for a postdoctoral researcher in Complex Mobility Systems. The position is part of a Formas-funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis.   About us  The candidate will be based at https://www.chalmers.se/en/departments/env/research/frt/ at Chalmers University of Technology in Gothenburg, Sweden. With around 50 staff members, including faculty and Doctoral students from engineering, natural sciences, and social sciences, the division promotes challenge-driven, multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport, Energy Analytics and Modelling, studies how people, vehicles, infrastructure, digital systems and energy systems interact, with applications in sustainable mobility, electrification, resilience, equity and policy analysis. The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. About the research project   The position is connected to the DYnamic populatioNs for resilient And equitable MObility systems (DYNAMO) project. The project develops next-generation synthetic populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work combines mobile phone data, census and urban data, activity-based and agent-based modelling, generative sequence models, transport networks, digital twins, resilience indicators and equity-sensitive analysis. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions.  The project is carried out in collaboration withthe department of Architecture and Civil Engineering, Danmarks Tekniske Universitet (DTU, Denmark) and Universidad del Desarrollo / ISI Foundation (Chile/Italy), contributing expertise in human mobility modelling, resilience science, and empirical disruption analysis using large-scale mobile phone data from Chile. Who we are looking for  The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. The following requirements are mandatory:  A doctoral degree in a relevant field, such as complex systems, network science, transport systems, urban science, computational social science, applied mathematics, physics, computer science, geography, urban planning, engineering, data science, resilience studies, or a closely related field. The degree must normally have been awarded before the start of employment. Meritorious educational qualifications: Read more about this at www.chalmers.se   Mandatory experiences and skills Documented ability to conduct high-quality independent research. Strong computational, mathematical, or modelling skills relevant to complex mobility systems, including the ability to implement and validate models using empirical or synthetic mobility data. Experience with quantitative modelling, simulation, data analysis or computational methods. Very good ability to write and communicate scientific results in English. Experience with at least one of the following: agent-based modelling, activity-based travel modelling, geospatial data analysis, mobility data analysis, generative modelling, transport simulation, network modelling, or data fusion. Ability to work both independently and in interdisciplinary research teams. The following experience will strengthen your application:  Read more about this at www.chalmers.se   What you will do  The postdoctoral researcher will conduct independent and collaborative research within the project. Depending on the candidate’s profile, the work may include: Developing computational and conceptually grounded frameworks for resilient and equitable mobility systems. Advancing agent-based, network-based or complex systems models of mobility under disruption. Contributing to the design of dynamic synthetic populations and behaviourally plausible mobility agents. Modelling how individuals, groups and networks adapt to disruptions, including sudden events and forewarned hazards. Developing or testing indicators for robustness, recovery, vulnerability, accessibility loss and equity impacts. Working with large-scale mobility, transport network, census, land-use or other urban data. Contributing to open, reproducible research workflows, model documentation and scientific publications. Collaborating with researchers in mobility data science, urban analytics, human mobility, resilience, digital twins and policy analysis. Helping connect the project’s empirical, computational, and theoretical components, and mentoring junior researchers or students where appropriate. Implementing and validating models related to dynamic synthetic populations, activity-based mobility patterns, disruption response, and resilience or equity indicators. Contract terms   Read more at www.chalmers.se   What we offer  Read more about what we offer at www.chalmers.se   Application procedure  Read more about this and apply at www.chalmers.se   We welcome your application no later than 2026-08-11 Shortlisting is planned for late August, with first interviews expected around 1 September.  For questions please contact:  Sonia Yeh, Professor, Department of Environmental and Energy Sciences. Email: sonia.yeh@chalmers.se, 031-772-67 16 We look forward to your application!  *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

We are looking for a Doctoral student in Complex Mobility Systems. The position is part of a Swedish Research Council-funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport planning. The project combines agent-based modelling, large-scale mobility data, transport networks, generative modelling, resilience indicators, and equity analysis.   About us  The candidate will be based at https://www.chalmers.se/en/departments/env/research/frt/ at Chalmers University of Technology in Gothenburg, Sweden. With around 50 staff members, including faculty and doctoral students from engineering, natural sciences, and social sciences, the division promotes challenge-driven, multidisciplinary research and offers courses linked to its research areas. Our group, STEAM – Sustainable Transport, Energy Analytics and Modelling, studies the transformation of transport and energy systems using data-driven, computational and policy-relevant approaches. We work at the intersection of mobility systems, energy systems, electrification, resilience, equity and sustainability, combining large-scale empirical data, modelling, simulation and systems analysis.  In https://www.chalmers.se/en/research/we-train-new-researchers/graduate-schools/energy-environment-and-systems/, you will learn the use of techniques and analytical methods regarding the environment, energy, nature and society. The graduate school offers different specializations, Energy Conversion, Industrial Energy Systems, Energy and Material Systems, Physical Resource Theory, Environmental Systems Analysis and Complex Systems.  The graduate school is organised within the https://www.chalmers.se/en/departments/env/ and https://www.chalmers.se/en/departments/tme/ About the research project   The position is connected to the DYnamic populatioNs for resilient And equitable MObility systems (DYNAMO) project. The project develops next-generation synthetic populations that are dynamic, scenario-conditioned and suitable for stress-testing mobility systems under disruptions. The work combines mobile phone data, census and urban data, activity-based and agent-based modelling, generative sequence models, transport networks, digital twins, resilience indicators and equity-sensitive analysis. The project explicitly seeks to move beyond static “average-day” demand modelling towards dynamic, behaviourally rich and policy-relevant simulations of how different groups adapt under changing conditions.  The project is carried out in collaboration withthe department of Architecture and Civil Engineering, Danmarks Tekniske Universitet (DTU, Denmark) and Universidad del Desarrollo / ISI Foundation (Chile/Italy), contributing expertise in human mobility modelling, resilience science, and empirical disruption analysis using large-scale mobile phone data from Chile. Who we are looking for The successful candidate will be expected to contribute intellectually to the theoretical development of the project. We are particularly interested in candidates whose background can help us connect empirical mobility data and computational modelling with theories of complex systems, network dynamics, resilience, disruption response, adaptation, inequality, or urban systems. The following requirements are mandatory: A master’s degree corresponding to at least 240 higher education credits, or equivalent, in a relevant field such as engineering, applied mathematics, physics, computer science, data science, complex systems, transport systems, urban science, geography, urban planning, computational social science, or a related field. Strong quantitative, analytical, computational, or theoretical training relevant to the research topic. Meritorious educational qualifications: Read more about this at www.chalmers.se   Mandatory experiences and skills Strong motivation to conduct doctoral research Good analytical and problem-solving skills Good programming, modelling, data analysis, or mathematical skills, with the ability to understand and engage with computational model implementation. Ability or strong motivation to work with activity-based modelling, agent-based modelling, synthetic populations, mobility data, or geospatial data. Very good written and spoken English Ability to work independently and collaboratively in an interdisciplinary research environment The following experience will strengthen your application:  Read more about this at www.chalmers.se   What you will do Your main responsibility will be to conduct doctoral research and complete a PhD degree. Depending on your profile, your work may include: Developing theoretical and computational models of complex mobility systems Studying how people and networks adapt to disruptions Contributing to dynamic synthetic populations and agent-based simulations Applying complex systems, network science, resilience, or computational social science methods Analysing mobility, demographic, land-use, transport network, or other urban data Developing indicators for accessibility loss, unmet mobility needs, recovery, vulnerability, and equity Publishing in international journals and presenting at conferences Contributing to open and reproducible research workflows The position may also include departmental duties, such as teaching, up to the level allowed by Chalmers’ doctoral employment rules. Contract terms   The Doctoral student positions are fully funded from start.  The position is a fixed-term appointment of four years, with the possibility to teach up to 20%, which extends the position up to five years.  A starting salary of 35,725 SEK per month (valid from May 1, 2026).  Doctoral studies require physical presence throughout the entire study period. A valid residence permit must be presented by the study start date; otherwise the admission may be withdrawn.  What we offer  Read more about what we offer at www.chalmers.se    Application procedure  Read more and apply at www.chalmers.se   We welcome your application no later than 2026-08-11 Shortlisting is planned for late August, with first interviews expected around 1 September. For questions, please contact:   Sonia Yeh, Professor, Department of Environmental and Energy Sciences. Email: sonia.yeh@chalmers.se, 031-772-67 16 We look forward to your application!  *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. ***

Janes equips defence, government, and industry leaders with objective, accurate, and shareable data and analysis. Our experts combine advanced technology with proven tradecraft to deliver validated and contextual intelligence to assess threats, accelerate decisions, and anticipate change with confidence. We deliver our intelligence with the flexibility to fuse it with multiple sources in any system, enrich AI solutions, or access it through our portal.    Job purpose:  The Solutions Engineer is a critical member of the Product team, responsible for enabling the integration and optimization of Janes interconnected intelligence capabilities across the customer base. Working within the Product Solutions team, you will support the deployment, configuration, and enhancement of Janes data across a variety of systems, platforms, and mission-critical capabilities. This role focuses on enabling Janes data within individual systems, facilitating interoperability with third-party and customer datasets, and aligning with Customer’s AI, intelligence and data requirements. You will help define and document data standards, technical specifications, and integration pathways to improve customer outcomes and drive innovation. You will contribute to high-impact customer and partner projects across Europe and NATO, helping shape the future of Janes technical estate - including our graph knowledgebase, intelligence products, and supporting infrastructure. Your work will have a direct impact on national security and defence capability.   How you will contribute at Janes:  * System Integration: Support the integration of Janes data and models into customer systems of record, ensuring seamless functionality and operational relevance. * Product Delivery: Assist in the development and delivery of Janes Interconnected Intelligence products, capturing and aligning where possible with standards and technical expectations. * Customer Advisory: Provide remote and on-site technical advisory services to customers, offering guidance on data attributes, integration strategies, and system optimization. * Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with customer ecosystems. * Gap Analysis: Identify and prioritize unmet data requirements critical to customer adoption and mission success. * Strategic Expansion: Explore adjacent content and data domains for potential expansion - either organically or via acquisition - to deepen Janes relevance and support for customer missions. * Market Intelligence: Monitor and report on partner and competitor activity within customer to identify opportunities for collaboration, expansion, or risk mitigation. * Presales & Bids: Support technical presales engagements, bid responses, and proposal submissions with subject matter expertise and solution design input.   The ideal skills and experience for this role are:  * Technical Proficiency:  * * Proficient in Python, including SDKs, APIs, and data engineering best practices. * Solid understanding of the Software Development Lifecycle (SDLC). * Familiarity with at least one of the following technologies: ArcGIS, Palantir, RDBMS, Graph Databases.  * Understanding of data models and/or ontologies * Experience in data integration, system interoperability or technical advisory roles—preferably within defence and intelligence sectors.  * Communication:  * Excellent presentation and communication skills, with the ability to engage technical and non-technical stakeholders.  * Mindset & Approach:  * * Passion for solving complex technical challenges. * Innovative, dynamic, and creative approach to problem-solving. * Willingness to learn, grow, and adapt in a fast-paced environment.  * Clearance: * Eligibility to hold security clearance, including willingness to undergo the clearance process with company sponsorship if not already cleared. Desirable Skills & Experience: * Front-End & Web Technologies:  * * Experience with JavaScript libraries (e.g., React) or frameworks (e.g., Vue). * Familiarity with geospatial JavaScript libraries such as ArcGIS Maps SDK, OpenLayers, Leaflet, Cesium etc.  * Back-End & Infrastructure:  * * Experience with Docker, Elasticsearch Palantir graph databases (e.g., Neo4j, ArangoDB, GraphDB). * Hands-on experience with cloud platforms and services, particularly AWS (EC2, Lambda, S3, etc.). * Background in backend or frontend architecture and development.  * Geospatial & Intelligence Tools:  * * Relevant experience using Esri technology and the full ArcGIS Enterprise suite, including ArcGIS Knowledge.  * Security & Clearance:  * * Experience working with national security and defence organizations. * Knowledge of the Intelligence cycle and ability to understand operational requirements and priorities. * Active security clearance is a strong advantage.  Benefits: * 27 days of annual leave   * Healthy half (0.5 day leave every 6 months for wellbeing)   * Leave- study/ volunteer/ reserve forces * Pension plan (6% employer contribution)  * Private medical insurance – BUPA * Maternity (100% of basic salary for the first 26 weeks followed by Statutory Maternity Pay)   * Paternity (100% of basic salary for 6 weeks)  * Life cover   * Access to LinkedIn Learning * Access to an on-site gym   ----------------------------------------------------------------------------------------------------------------------------------   LIFE AT JANES We believe Janes is truly a great place to work. Our values and leadership code drive everything we do, and we understand that the right behaviours and culture will always result in the best outcomes for our customers, our colleagues, our shareholders, and our business. We provide a supportive, stretching, and dynamic environment with the ability for you to grow rapidly, both personally and professionally. Janes is an inclusive and equal opportunities employer and encourages applications regardless of age, race, disability, religion / belief, sexual orientation, gender reassignment, marriage or civil partnership, pregnancy/maternity, or gender. Although this role is advertised as full time, Janes believed that flexibility at work can provide many significant benefits both to our colleagues and the business. We already work in a hybrid style across all offices and regions and can support different ways of working and offer different flexible working arrangements. So, if you are interested and have any requirements or needs in the way you would like to work, please apply, and speak to us about this.  We will always consider part time or flexible applications Job Applicants - Privacy Policy Know your rights document

ABOUT PLUVIOFLOW PluvioFlow is a startup building a web-based GIS application for water flow simulation to help communities plan for and manage extreme weather risks. We work with city planners, technical consultants, insurance firms and humanitarian organisations who need to identify flooding risk by running scenarios and helping them evaluate appropriate intervention to protect what matters most. WHY JOIN US? You’ll be an early hire working close to the CTO and Head of GIS, helping shape product and engineering practices in a purpose-driven company. THE ROLE We’re hiring a backend developer who can operate comfortably in a DevOps-oriented team—owning backend development while also improving and running cloud deployments, CI/CD, and operational reliability. Our stack includes .NETand Azure, and we also use SolidJS/TypeScript in the product. WHAT YOU’LL DO BACKEND ENGINEERING & SYSTEM DESIGN * Build and maintain C#/.NET APIs and backend services. * Make pragmatic architecture decisions: scaling, caching, queuing, performance optimization, and reliability trade-offs. * Write clean, testable code and raise engineering quality via reviews, testing, and good defaults. CLOUD, DEVOPS & CI/CD (HANDS-ON) * Improve and own CI/CD pipelines (Azure Pipelines or equivalent) and release processes. * Work with Azure infrastructure (preferred): deployments, observability, operational tooling, and cost-aware reliability. * Containerize services with Docker; help mature deployment patterns. DATA & PLATFORM FUNDAMENTALS * Work with PostgreSQL (or similar) including schemas, migrations, and safe production changes. * Collaborate closely with engineering/product to deliver end-to-end improvements. MUST-HAVE QUALIFICATIONS * C# / .NET: strong experience building APIs and backend services. * Azure (preferred) or equivalent cloud infrastructure experience. * System design and performance intuition * DevOps & CI/CD: Azure Pipelines or similar; understands CD and safe releases. * Database fundamentals: PostgreSQL (or similar), migrations, schemas. * Docker. * Unit testing and practical engineering quality habits. * Comfortable working in Scrum/Agile environments. GOOD-TO-HAVE QUALIFICATIONS * Kubernetes (AKS or similar) and production operations patterns. * GIS / geospatial experience, especially PostGIS. * Proficiency in modern frontend development (e.g. SolidJS or similar frameworks). * AI as a tool across the dev cycle (building, testing, debugging, analysis, design) * Familiarity with VLMs / visual language models. WHO YOU ARE * Fluent in English: Our technical working language is English so you must be fluent in reading, writing and speaking. Swedish is not a strict requirement, but a big plus. * Passionate: You're driven by a desire to make a positive impact on society and the environment. * Collaborative: You thrive in team settings and value diverse perspectives. MOST IMPORTANT: Eager to Learn: Whether you have all the listed skills or not, you're excited to grow and adapt. We know we don’t have all the answers, but we’ll figure them out together! PRACTICAL INFORMATION * Location: Lund (hybrid, 2–3 days in the office per week). * Start date: As soon as possible. * Flexibility: We offer a high degree of autonomy with flexible working hours and the option to work remotely when needed. READY TO MAKE A DIFFERENCE? If you're excited about using your skills to help society navigate climate change risks, we'd love to hear from you! Send us your CV or LinkedIn profile and a short summary of relevant backend, CI/CD, or cloud work you’ve been involved in. Even if you don’t meet all the requirements but feel inspired by our mission, don’t hesitate to get in touch. If you have any questions about the role, please email Jonatan at contact@pluvioflow.com. Applications are reviewed on an ongoing basis, so we encourage you to apply as soon as possible. PluvioFlow is an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives. Together we can make a lasting impact.