Software Engineer - Kubernetes & Go

LUNDS UNIVERSITET

Lunds universitet grundades 1666 och rankas återkommande som ett av världens främsta lärosäten. Här finns omkring 46 000 studenter och 8 500 medarbetare i Lund, Helsingborg och Malmö. Vi förenas i vår strävan att förstå, förklara och förbättra vår värld och människors villkor. Ditt team Du kommer att ingå i gruppen Scientific Data inom den tekniska divisionen – ett internationellt team som ansvarar för hela kedjan från datainsamling med toppmoderna detektorsystem till utveckling och support av mjukvaruprojekt för dataanalys och visualisering vid strålrörens experimentstationer. De detektorer som används för datainsamling vid våra strålrör är en central del av MAX IV:s vetenskapliga infrastruktur och kräver specialiserad och dedikerad support. Inom detta område söker vi nu en Detector Software Engineer som ska arbeta med integration, driftsättning och operativt stöd av detektorsystem samt vidareutveckling och underhåll av tillhörande DAQ-mjukvara (Data Acquisition). Den huvudsakliga uppgiften för den framgångsrika kandidaten är att säkerställa optimal drift av kommersiellt tillgängliga detektorer, både positionskänsliga och energiupplösande, med särskilt fokus på megapixelbaserade fotonräknande detektorer och sCMOS-kameror. Arbetet omfattar hantering av höga datahastigheter och stora datavolymer med hjälp av moderna mjukvaruramverk och beräkningsinfrastruktur, integrerade i högpresterande och hållbara tjänster. Du kommer att arbeta nära forskare vid strålrören för att förstå deras behov av detektorsystem och säkerställa bästa möjliga detektorprestanda för olika experimentella tekniker. Rollen innefattar även bidrag till det övergripande mjukvaruekosystemet för datainsamling inom MAX IV:s edge cloud-miljö. Det finns också möjlighet att etablera samarbeten med andra forskningsinstitut som bedriver utveckling av detektorer för att vid behov kunna implementera skräddarsydda lösningar för MAX IV:s strålrör. Vi uppmuntrar aktivt medverkan i internationella konferenser och workshops genom publikationer och presentationer. Dina huvudsakliga arbetsuppgifter Integrera detektorer i styr- och DAQ-system (Data Acquisition) samt ge stöd för dessa system i drift genom att kombinera förståelse för detektorernas grundläggande funktionsprinciper med förmågan att leverera robusta programvarulösningar för vetenskapliga tillämpningar Bidra till utvecklingen av det underliggande generella DAQ-systemet Förstå strålrörens behov av detektorer och ge rådgivning vid upphandling av detektorsystem Samarbeta med kommersiella och icke-kommersiella leverantörer av detektorer, felsöka nya och befintliga detektorer samt följa upp korrigeringar, uppdateringar och förbättringar med leverantörerna Genomföra Site Acceptance Tests (SAT) och andra prestanda- och karakteriseringstester av olika typer av detektorer, exempelvis fotonräknande, laddningsintegrerande och energiupplösande detektorer Ta fram och underhålla dokumentation för support, drift och förvaltning av installerade detektorsystem För att lyckas i rollen behöver du ha följande kvalifikationer Examen inom fysik, teknik, datavetenskap eller motsvarande utbildning, erfarenhet eller kompetens. Erfarenhet av att arbeta med detektorer för vetenskapliga tillämpningar (gärna fotondetektorer) samt förståelse för deras funktionsprinciper. Dokumenterad erfarenhet av mjukvaruutveckling och dataanalys i ett högnivåspråk (exempelvis Python, C++ eller Rust) i Linuxmiljö. God kommunikationsförmåga och förmåga att samarbeta effektivt med medarbetare på alla nivåer, både inom och utanför MAX IV. Förmåga att arbeta som en del av ett tvärvetenskapligt team. Följande erfarenheter ses som meriterande Forskarutbildning (doktorsexamen) inom relevant område. Erfarenhet av kommersiella röntgendetektorsystem som vanligtvis används vid synkrotronanläggningars Strålrör. Erfarenhet av utveckling av detektorer för synkrotrontillämpningar. Erfarenhet av högpresterande och/eller distribuerad databehandling samt nätverksteknik. Erfarenhet av analys av data i HDF5-format. Arbetslivserfarenhet från synkrotronanläggningar eller andra större experimentella forskningsanläggningar. Kunskap om Continuous Integration och Continuous Deployment (CI/CD). Erfarenhet av containerteknik och Kubernetes för driftsättning av mjukvara och tjänster. Erfarenhet av arbete med FPGA:er med hjälp av HLS (exempelvis Vivado) och/eller OpenCL. Erfarenhet av Timepix3 ASIC. Som person Har du god kommunikativ förmåga och lätt för att samarbeta med kollegor på alla nivåer, både inom och utanför organisationen. Är du självgående och har ett starkt intresse för att lära dig nya teknologier. Tar du initiativ och driver problemlösning framåt. Är du kreativ, flexibel och resultatinriktad. Trivs du med att samarbeta och arbeta tillsammans med andra i tvärvetenskapliga team. Mer information För mer information, besök gärna: https://www.lunduniversity.lu.se/about-lund-university/work-lund-university www.sweden.se https://www.maxiv.lu.se/about-us/careers/compensation-benefits/ Observera att provanställning och beredskapstjänstgöring kan komma att tillämpas. Notera även att annonsen är publicerad under en längre period eftersom rekryteringsprocessen sträcker sig över sommaren. For ad in English: https://lu.varbi.com/en/what:job/jobID:941937/ MAX IV är ett nationellt forskningslaboratorium med Lunds universitet som värduniversitet. MAX IV tillhandahåller toppmodern utrustning för forskning inom områden som teknik, fysik, strukturbiologi, kemi och nanoteknik. MAX IV kommer att ta emot upp till 2 000 nationella och internationella forskare årligen, vilka genomför banbrytande experiment inom material- och biovetenskap med hjälp av det briljanta röntgenljuset. Vi undanber oss alla kontakter från annonsförsäljare, rekryterings- och bemanningsföretag på grund av statliga upphandlingsregler.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team: The managed cloud offering from Neo4j is called Aura (DBaaS) and we are now looking to expand our Aura team with more skilled Engineers. As of today, Aura is running hundreds of managed Kubernetes clusters in production across multiple CSPs and brings the power of the Neo4j Graph Intelligence Platform.  Now, we are looking for experienced Software Engineers with Kubernetes experience to join our Networking team to develop the system further to handle future load and functionality. THE ROLE: * Collaborate with your team to design, develop, and maintain the cloud networking foundation that powers our cutting-edge solutions. * Partner closely with teams across Neo4j’s cloud organization, Aura, to shape and deliver an ambitious roadmap for cloud networking as we scale globally. * Tackle complex and exciting engineering challenges in a rapidly growing area of focus, where your work will directly influence the performance, reliability, and scalability of our platform. REQUIRED AREAS OF EXPERIENCE: * Advanced knowledge of Google Cloud, AWS and/or Azure * Agile software development within a team environment * Good working knowledge of Go * Experience building and operating software on Kubernetes * Cloud Networking and Kubernetes Networking fundamentals * Working in a 24/7/365 SaaS environment * Solid understanding of DNS, TLS, mTLS, SNI and L4/L7 Proxies (Envoy) * Build and deployment pipelines employing continuous delivery NICE TO HAVE AREAS OF EXPERIENCE: * Multi Tenancy Environments * GCP Private Service Connect * AWS/Azure PrivateLink * Writing Kubernetes Operators * Kubernetes internal networks (Cilium, eBPF, Traefik, Calico, Linkerd, Istio, Consul) * Kubernetes network security * Architecting for high availability #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Neo4j

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision:  At Neo4j, we have always strived to help the world make sense of data.   As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Team The Site Reliability Engineering team’s mission is to improve the reliability of Neo4j’s DBaaS product: Neo4j Aura. Operating at a global scale across all three major cloud providers, Aura runs hundreds of Kubernetes clusters and hosts thousands of Neo4j instances in production at any given time. We’re reshaping what SRE means at Neo4j Aura—and we want you to be part of that journey. Rather than firefighting or chasing alerts, we’re helping teams design for reliability from day one. That means building the tools, practices, and culture that embed SRE principles at the heart of how Aura operates. You’ll be joining a team focused on long-term resilience, engineering excellence, and meaningful collaboration with product teams. The Role * Automate for insight and scale: Build systems that make troubleshooting fast, safe, and scalable across thousands of Neo4j instances. From internal tools that surface clear insights to canaries that support safe rollouts, you’ll focus on automation that elevates reliability engineering. * Treat operations as a software problem: Replace tribal knowledge and ad-hoc scripts with tools and systems that codify best practices—making operations predictable, scalable, and repeatable. * Design for resilience, learn from failure: Own and evolve the tooling and processes behind incident response. From clear alerts to blameless reviews, you’ll help ensure teams respond with confidence and learn with clarity. * Champion reliability as a product feature: Help teams define and act on SLIs and SLOs, turning reliability into a shared, data-driven priority across engineering. * Create signals, not noise: Shape an observability stack that tells us what matters, when it matters—so we can detect issues early and resolve them quickly. WE'RE INTERESTED IN HEARING FROM ENGINEERS WITH DEEP EXPERIENCE IN SOME OF THE FOLLOWING AREAS * Writing backend tools and automation in Go—our primary language—with an emphasis on sound architecture, testing, and maintainability. Strong software skills in other languages, like Python, are also welcome. * Applying SRE practices in real-world environments: defining SLIs and SLOs, reducing toil through automation, and driving reliability through engineering. * Collaborating with other teams to promote SRE thinking—educating on principles like observability, ownership, and service level objectives. * Troubleshooting large-scale, cloud-based systems with confidence and curiosity. * Monitoring distributed systems and understanding their performance characteristics. * Designing systems with reliability, safety, and debugability as first-class concerns. * Working with observability tools like OTel Collector, Prometheus, Grafana, and Google Cloud’s operations suite. * Deploying and managing applications on Kubernetes; cluster-level administration is a plus. * Managing infrastructure with Kustomize and Terraform—keeping it clear, modular, and easy to evolve. * Building and maintaining CI/CD workflows—ours run on GitHub Actions. * Participating in on-call rotations and incident response with a focus on improvement, not blame. * Writing and contributing to postmortems that lead to meaningful, lasting changes. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.  * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.  * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.  * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers.  Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues.  One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments)  Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.  More information at www.neo4j.com.   ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.