Switzerland's best tech talentjobs
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Platform Engineer

About us:DeepJudge is Switzerland’s leading AI and ICT scale-up, transforming how law firms and legal departments access and leverage their knowledge. Founded by former Google search engineers with PhDs in AI from ETH Zurich, and backed by top-tier Silicon Valley investors, we are building the intelligence layer that powers the legal industry.Every firm can license the same AI models, but no two firms share the same institutional knowledge. Decades of experience, work product, and precedent are often trapped across systems, underused and inaccessible. DeepJudge makes this expertise instantly available through world-class enterprise search and AI infrastructure, enabling firms to automate workflows, build knowledge-powered applications, and turn experience into a lasting advantage.Our technology is trusted by many of the world’s leading law firms, including Freshfields, Gunderson Dettmer, Holland & Knight, Arent Fox, and Cozen O’Connor. Headquartered in Switzerland with a growing team across North America, we are expanding rapidly and shaping the future of how professional knowledge is discovered and applied.At DeepJudge, we move fast, think rigorously, and care deeply about what we build. We combine cutting-edge research with close collaboration with our clients to deliver solutions that truly make an impact. If you want to be part of a team defining how AI transforms high-stakes knowledge work, this is the place to do it.About the role:We are looking for a platform engineer / developer experience engineer to improve the systems that help our engineering team move quickly and safely.This is a hands-on role spanning build systems, CI, testing infrastructure, dependency and vulnerability management, and internal developer tooling. The engineer will combine operational ownership with deeper system improvement: keeping critical processes reliable while identifying and removing recurring sources of friction.The ideal candidate has strong software engineering fundamentals, excellent debugging instincts, and a genuine interest in building tools and workflows for other engineers. They understand that an internal platform is a product: solutions must be reliable, ergonomic, well documented, and easy to adopt.Candidates do not need prior ownership of every area in the role. We value broad engineering judgment, curiosity, and demonstrated interest in improving developer productivity over narrow specialization.Your responsibilities will include:Owning and maintaining build systems, CI pipelines, testing infrastructure and internal tooling to keep engineering workflows reliable and efficientHelping and enabling other engineers by identifying recurring sources of friction and designing and implementing solutions to remove themVulnerability and dependency managementReviewing code and contributing to a high standard of code quality and maintainabilityYou're a great fit if you:Have 4+ years of experience as a Software Engineer, Site Reliability Engineer or Developer Experience EngineerAre proficient in at least two of the following: build systems, continuous integration, testing, observability, dependency and vulnerability management, release workflows or internal toolingAre comfortable working with Python tooling and packaging, including dependency management and the broader Python developer ecosystemHave a genuine interest in building tools and processes that help other engineers move fasterHave strong software engineering fundamentals and excellent debugging instinctsBring broad engineering judgment and curiosity(Nice to have) Experience with tooling, packaging, and dependency management in JavaScript, Rust, Go or other language ecosystems(Nice to have) Experience working with Kubernetes, including deploying services and debugging running workloadsWhat you can look forward to:Location: Office 5min walking distance from Zurich central station, where we primarily work on siteCollaborative and supportive work environmentPotential for professional growth and advancement within the companyOwnership and ability to impact the company, product, and cultureAt DeepJudge, we believe great teams are built on diverse perspectives and experiences. We are proud to be an equal opportunity employer and are committed to fostering an inclusive, high-performance culture where everyone can thrive. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, disability, veteran status, or any other characteristic protected by law.If this role excites you, but you feel you don’t meet every qualification, we encourage you to apply anyway and tell us why you’d be a great fit.

Fullstack Software Engineer mit DevOps Mindset (a) (80 – 100%)

Salary: CHF 120'000 - 140'000 per year Requirements: Ausbildung in Informatik auf Stufe HF, FH oder Universität oder mehrjährige relevante BerufserfahrungMind. 3 Jahre Erfahrung im Software Engineering / Fullstack DevelopmentErfahrung in den letzten drei Jahren in mindestens einem der Bereiche Client Onboarding, digitale Produktabschlüsse oder Client Lifecycle ManagementZwingend: Sehr gute Kenntnisse in Java, Spring und JPA/Hibernate sowie mit JavaScript / TypeScriptTeamorientierte und kommunikative Persönlichkeit mit echtem DevOps- und Ownership-MindsetFliessende Deutschkenntnisse auf mindestens C1-Niveau sowie Verständnis von Schweizerdeutsch Responsibilities: Entwicklung moderner digitaler Services für Client Onboarding, digitale Produktabschlüsse und Client Lifecycle ManagementEnd-to-End-Verantwortung von der Anforderungsanalyse über Entwicklung und Testing bis zur Betreuung der selbst entwickelten Lösungen im BetriebZusammenarbeit mit Business Engineers, Product Owner und Architekt:innen bei der Erarbeitung technischer LösungenRefinement und Umsetzung von Stories inklusive Aufwandsschätzungen und Sprint-Planung im agilen UmfeldFullstack-Entwicklung mit Schwerpunkt auf Java, Spring und JPA/Hibernate im Backend sowie TypeScript/JavaScript mit Angular im FrontendAnalyse von Incidents und kontinuierliche Weiterentwicklung der Anwendungen und BetriebsprozesseDu gestaltest Services und technische Lösungsvarianten aktiv mit und berätst den Fachbereich hinsichtlich Machbarkeit und Umsetzung Technologies: AngularBackendCloudDevOpsFrontendFullstackHibernateJPAJavaJavaScriptKotlinMobileProduct OwnerSecuritySpringTypeScriptReactVue More: Die Zürcher Kantonalbank (ZKB) ist die grösste Kantonalbank und zweitgrösste Universalbank der Schweiz. Stark im Wirtschaftsraum Zürich verankert, verbindet sie wirtschaftliche Stabilität und langfristige Orientierung mit der konsequenten Weiterentwicklung ihrer digitalen Angebote. Das Ziel: persönlich wie digital ein überzeugendes Kundenerlebnis zu bieten.Genau hier setzt der Bereich Client Channels an. Im Fokus stehen zentrale digitale und physische Touchpoints zwischen der ZKB und ihren Kundinnen und Kunden, die Bedürfnisse mit Technologie, Prozessen, User Experience, Security und Betrieb verbinden. Dazu gehören unter anderem eBanking, Mobile Banking sowie digitale Eröffnungs-, Onboarding- und Lifecycle-Prozesse.Innerhalb von Client Channels arbeiten interdisziplinäre DevOps-Teams an der Entwicklung und Weiterentwicklung digitaler Services entlang der zentralen Kundenschnittstellen. Die Teams verbinden Business und Technologie eng miteinander und tragen die Verantwortung für ihre Lösungen über den gesamten Lifecycle hinweg – von der Konzeption und Entwicklung bis zum stabilen Betrieb. Dabei gilt konsequent der Grundsatz «You build it, you run it».Für eines der vier interdisziplinären DevOps-Teams suchen wir dich als Fullstack Software Engineer mit DevOps Mindset.Als Fullstack Software Engineer übernimmst du End-to-End-Verantwortung für geschäftskritische digitale Kundenprozesse. Dabei gestaltest du mit modernen Fullstack- und Cloud-Technologien eine zentrale Plattform aktiv mit. Reizt dich eine Aufgabe mit viel Gestaltungsspielraum und direktem Einfluss auf die digitale Kundenschnittstelle?Dann freut sich Natalie Kämpfer auf deine Bewerbungsunterlagen oder auf deinen Anruf.Natalie KämpferConsultantTelefon: +41 52 369 20 24E-Mail: natalie.kaempfer@consultandpepper.com last updated 44 week of 2026

Site Reliability Engineer in Hardware Infrastructure

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The team The Hardware Automation team builds the internal platforms and tooling that power how Nebius operates its data center infrastructure at scale. Our mission is to eliminate manual effort, reduce human error, and give every team in the Hardware Infrastructure department real-time visibility and control over the systems they own. We operate as a product engineering team embedded within hardware infrastructure — meaning we don't just write requirements and hand them off. We own the full stack: from requirements gathering with data center operations and hardware engineering, through design and build, all the way to rollout and ongoing reliability. The role Ensure fault-tolerance, scale and uninterrupted operations for our services. Use cutting-edge technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have: Proficiency in Linux systems, with expertise in Python and Bash scripting for automation. Demonstrated ability to troubleshoot complex system issues, including hardware, software and networking problems. Strong analytical and problem-solving skills, with a focus on optimizing system performance. Working proficiency in English. It would be an added bonus if you had: Desire to be involved in backend development. Experience designing, developing and running high-load distributed systems. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Senior Site Reliability Engineer | SRE (Remote, EU/CET)

About Maze Maze is the user research platform that helps companies build the right products faster by making user insights available at the speed of product development. In most companies, research demand far exceeds supply. Time, cost, and lack of access to expertise hold teams back. In today’s AI-powered world, anyone can build a product fast. The real challenge? Deeply understanding user needs and building the right product. That’s where Maze comes in. We believe companies shouldn’t have to choose between building fast and building right. Maze makes research accessible, intuitive, and fast so product teams can put user insights at the center of every decision. Our platform enables researchers, designers, and product managers to quickly recruit participants, run studies autonomously, and surface insights that actually drive product decisions. Our AI capabilities automate the busywork and add depth and direction to the insights themselves. That’s why Maze was recently named the #1 user research platform in UX Tools’ Design Tools Survey—and why we’re scaling fast across industries like B2B SaaS, e-Commerce, Financial Services, Retail, and Automotive, supporting world class customers such as Uber, Amazon, Atlassian, Anthropic & more. Maze is a Series B company backed by top-tier investors (Felicis, Emergence & Amplify). We operate a global remote workforce driven by our core values. Location: Remote, preference for Netherlands, United Kingdom, Ireland, Spain or Portugal. Key engineering and product teams are based in these locales. The Role We’re hiring a Senior Site Reliability Engineer to join our Platform team and help us build secure, reliable, and scalable systems as Maze grows. This role sits at the intersection of cloud infrastructure, reliability, and security. You’ll work across our platform to improve how we operate production systems, strengthen our security practices, and give engineers the tooling and infrastructure they need to ship quickly and confidently. We’re looking for someone who enjoys working across boundaries, takes ownership, and brings a pragmatic approach to solving problems. You don’t need to be an expert in every part of our stack, but you should be excited to learn, move quickly, and make an impact. As an SRE at Maze, you will: Build, operate, and evolve our cloud infrastructure with reliability, scalability, and security in mind Improve our observability practices and help engineers understand, debug, and operate systems in production Partner across engineering and security to strengthen our cloud security posture and operational practices Support security and compliance initiatives, including vulnerability management, security testing, and audit readiness Build tooling and automation that reduces manual work and improves the developer experience Bring an operational and security perspective to architecture and technical decisions Improve how we prepare for, respond to, and learn from production incidents Use modern AI-assisted and agentic workflows to build, debug, and operate systems more effectively We’re looking for someone who: Has experience building and operating production systems in a modern cloud environment, ideally AWS Understands modern SRE and infrastructure practices, including infrastructure as code and containerized workloads Has experience with observability and knows what good monitoring, alerting, and production visibility look like Brings a security mindset, with experience or interest in cloud security, vulnerability management, application security, or related areas Has exposure to security and compliance frameworks such as SOC 2 or ISO 27001, or is interested in developing deeper expertise in this area Can automate repetitive work using code and is comfortable working with at least one programming language Is excited about AI-assisted development and actively uses modern AI tools in their work Thrives in a fast-moving environment where ownership, curiosity, and pragmatic decision-making matter The stack Cloud & infrastructure: AWS, Kubernetes, Terraform, Docker Observability: Datadog Security & compliance: Vanta, Socket CI/CD: GitHub Actions, Argo CD Data: PostgreSQL, Neo4j, Snowflake Application: TypeScript, Node.js, React You don’t need experience with every technology in our stack. We care more about strong fundamentals, an ability to learn quickly, and excitement about helping us build reliable and secure systems as Maze scales. Inclusivity and Pay At Maze, we are dedicated to building an equitable, inclusive, and authentic workspace. Unique and diverse perspectives are welcomed, and continuous growth is encouraged. We believe that people are more than their resumes, so if your past experience looks different than the criteria listed, we'd still love to hear from you. We appreciate and celebrate non-traditional life routes and encourage you to apply should you connect with a job description or the Maze culture. Maze values transparency and it enables us to approach compensation equitably across the world. We are informed by data and regularly check our salary ranges (either United States or Rest of World) against other venture backed companies. Additionally, we are proud of our holistic and generous benefits offerings, included in every compensation package. Your salary is dependent upon many factors, including years of experience, expertise, etc. During your first interview, you can expect to have an open conversation with your recruiter regarding your compensation expectations. Why Maze is unique Early-stage startup: You will join an early-stage startup with less than 150 team members. This means you'll have the unique opportunity to directly impact success and help shape the future of Maze. Market disruption: We believe that the way companies build products is fundamentally broken and the user research market is ripe for disruption. For too long, companies have been forced to choose between rapid development without user insights or investing months into research before bringing products to market. But there's finally a groundswell building around a path forward that eliminates this compromise - and Maze is leading the charge. Product-market Fit: Maze is used by 100,000+ brands across 4,000 companies, from SMB to enterprises, and in the last fiscal year, we saw 6.5M questions answered, supporting 25K decisions Benefits Health insurance with international coverage, vision, and dental: 100% of the team member premium paid For some locations, coverage options vary, please see our benefits pages for more information Free access to proper mental health care, unlimited virtual therapy sessions (with a human) and 24/7 access to resources Life and Disability Insurance, 100% of the team member premium paid Flexible time off Meaningful equity Company retreats, fully paid for by Maze New MacBook (laptop), paid for by Maze Paid Family leave: 16 weeks for birth or adoptive parents $500/month to be used for dependent health insurance coverage If you don't have dependents to add to your plan, you will still get access to this money to be used at your discretion to get the benefits that matter to you with our flexible a-maze-ing benefits - gym memberships, co-working spaces, food, travel, whatever! $1,500 remote work setup fund to ensure you can set up a productive work space Flexible work schedule where you manage your own working hours Monthly Bonus.ly points that are awarded to others to recognize teamwork, dedication and helpfulness - points can be cashed out for gift cards and more Virtual social engagements randomly throughout the year SWAG, we have some really cool swag Open, transparent culture that includes virtual: coffee chats, bi-weekly all-hands meetings, and more Check out all of our a-maze-ing benefits here. Outreach Notice We understand you might be excited about the job you’re applying for, we are excited you are interested! However, please refrain from reaching out to our current team members on LinkedIn for referrals. Our policy is that referrals can only be provided by team members who personally know the candidate. With the high volume of interest in our roles, contacting our team members who are not involved in recruitment can be overwhelming. Additionally, please avoid submitting support tickets regarding your application, as our support team is not involved in the hiring process. Rest assured, our recruitment team is diligently reviewing all applications and will reach out directly if there is a match.

Cloud- & System Administrator:in (60-80%)

Salary: CHF 65'000 - 95'000 per year Requirements: ▪ Abgeschlossenes Hochschulstudium in Informatik, Systemtechnik, Cloud Computing oderDevOps oder eine abgeschlossene Lehre als Informatiker:in EFZ bzw. in einem verwandten Bereich mit entsprechender Berufserfahrung▪ Interesse an Cloud-, Infrastruktur- und Automatisierungstechnologien▪ Selbstständige, strukturierte Arbeitsweise und Verantwortungsbewusstsein▪ Freude an der Zusammenarbeit im Team und an der Entwicklung pragmatischer Lösungen▪ Interesse an Umwelt- und Nachhaltigkeitsthemen▪ Sehr gute Deutschkenntnisse sowie gute Englischkenntnisse Responsibilities: ▪ Betrieb, Überwachung und Weiterentwicklung unserer Azure-Infrastruktur▪ Administration von Windows- und Linux-Systemen▪ Betreuung von Fachapplikationen▪ Automatisierung von Betriebsprozessen▪ Umsetzung von Infrastructure-as-Code-Lösungen▪ Monitoring, Performance-Optimierung und Weiterentwicklung unserer Plattformen▪ Mitarbeit bei Cloud-, DevOps- und Infrastrukturprojekten▪ Unterstützung unserer Mitarbeitenden und ICT-Kund:innen im operativen Betrieb▪ Mitgestaltung einer sicheren, stabilen und modernen Systemlandschaft Technologies: AzureCloudDevOpsICTKubernetesLinuxSecurityWindowsSupportOffice 365 More: Wir machen Umweltdaten sichtbar und nutzbar. Mit modernen Messsystemen, intelligenten Anwendungen und einer leistungsfähigen Cloud-Infrastruktur schaffen wir die Grundlage für wichtige Entscheidungen in den Bereichen Luftqualität, Naturgefahren, Meteorologie, Lärm und Verkehr.Was wir dir bieten:▪ Eine abwechslungsreiche Tätigkeit mit direktem Bezug zu Umwelt- und Nachhaltigkeitsthemen▪ Viel Gestaltungsspielraum und die Möglichkeit, eigene Ideen einzubringen und umzusetzen▪ Moderne Cloud-Technologien und spannende technische Herausforderungen▪ Ein kollegiales und wertschätzendes Arbeitsumfeld▪ Kurze Entscheidungswege und hohe Eigenverantwortung▪ Ein interdisziplinäres Team mit hoher Fachkompetenz▪ Kontinuierliche Weiterbildungs- und Entwicklungsmöglichkeiten▪ Flexible Arbeitszeiten, Homeoffice und moderne Arbeitsmittel last updated 44 week of 2026

(Senior) DevOps Engineer

Salary: CHF 120'000 - 160'000 per year Requirements: Abgeschlossenes Studium (Universität, FH, HF) oder eine vergleichbare Aus- und WeiterbildungMindestens 4 Jahre Erfahrung im DevOps- oder Platform-Engineering-Umfeld, für Senior mindestens 7 Jahre mit nachweislicher Verantwortung für Pipelines oder PlattformenFundierte Erfahrung mit CI/CD-Pipelines, insbesondere Jenkins, sowie mit Git-basierten WorkflowsPraxis mit Containern und Orchestrierung (Docker, Kubernetes bzw. OpenShift)Erfahrung mit mindestens einer Cloud-Plattform [Zielplattform des Kunden einsetzen: Azure / AWS / GCP] sowie mit Infrastructure as Code (z. B. Terraform, Ansible)Erfahrung mit Monitoring und Logging (z. B. Prometheus, Grafana, ELK)Entwicklungshintergrund in Java/Spring Boot: Du verstehst den Code, den du deployst, und kannst selbst Hand anlegenScripting-Kenntnisse (z. B. Bash, Python)Praxis in agilen Umfeldern (Scrum und/oder SAFe)Erfahrung im Banken- oder einem anderen regulierten UmfeldErfahrung mit DevSecOps-Tools (z. B. SonarQube, Dependency-/Container-Scanning)Sicheres Auftreten gegenüber Kunden, sehr gute Deutschkenntnisse und gute Englischkenntnisse Responsibilities: CI/CD verantworten: Du konzipierst, optimierst und automatisierst Build- und Deployment-Pipelines (u. a. Jenkins), von der Codebasis bis zur Produktion.Cloud-Migration vorantreiben: Du gestaltest die Migration bestehender Applikationen in die Cloud aktiv mit und entwickelst Betriebs- und Plattformkonzepte weiter.Infrastruktur automatisieren: Du setzt Infrastructure as Code, Containerisierung und Konfigurationsmanagement um und machst Umgebungen reproduzierbar.Stabilen Betrieb sicherstellen: Monitoring, Logging, Alerting und Incident-Analyse über den gesamten Lifecycle liegen bei dir. Du kümmerst dich um die Ursachen, nicht nur um Symptome.Nah an der Entwicklung bleiben: Wo nötig, entwickelst du selbst an der Java/Angular-Applikation mit, vor allem bei Performance, Wartbarkeit und Betriebsfähigkeit.Sicherheit und Compliance einbauen: Du integrierst Security- und Qualitätschecks in die Pipelines und berücksichtigst die Anforderungen eines regulierten Bankenumfelds.Prägen und befähigen: Du treibst DevOps-Standards und Best Practices im Team und beim Kunden voran, berätst Stakeholder und begleitest weniger erfahrene Kolleginnen und Kollegen. Technologies: AWSAngularAnsibleAzureBashCI/CDCloudDevSecOpsDevOpsDockerELKGCPGitGrafanaJavaJenkinsKubernetesOpenShiftPostgreSQLPrometheusPythonSQLSecuritySpringSpring BootTerraformKotlin More: Über unsBanking & Technology sind kein Ponyhof. Zum Glück mögen wir Äpfel. Seit 2001 arbeiten wir Oepfelbäumler:innen an der Schnittstelle von Banking und Technologie. Unsere Kunden sind grosse und mittelgrosse Banken in der Deutschschweiz und in Liechtenstein, unser Büro liegt mitten im Zürcher Bankenplatz. Unsere Wurzeln liegen in der Technologie, unser Know-how reicht tief ins Bankgeschäft. Wir beraten, entwerfen Lösungen, entwickeln sie und begleiten deren Umsetzung. Dabei machen wir aus komplexen Herausforderungen klare Konzepte und aus guten Ideen Lösungen, die etwas bewegen. Über 150 Projekte in Wealth Management, Trading und Risk haben uns gelehrt: Gute Beratung braucht Erfahrung, einen klaren Kopf und den Mut, unbequeme Fragen zu stellen.Bei uns zählt, was jemand kann, und nicht, wer am lautesten ist. Wir sind über 30 Leute, die mitdenken, Klartext reden und auch über sich selbst lachen können. Verantwortung übernimmst du hier vom ersten Tag an. Wir suchen keine Äpfel, die nur schön glänzen. Wir suchen welche mit Biss. #oeppisbewegeDas zeichnet Oepfelbaum ausVier Werte prägen, wie wir zusammenarbeiten.#VerantwortungLebenDu betreust deine Kunden selbst und stehst für deine Lösung ein. Wenn es schwierig wird, hast du ein Team im Rücken. Hierarchien gibt es bei uns wenige, und für einen Entscheid reicht meist ein kurzes Gespräch.#MitOptimismusZumZielAlte Systeme, knappe Zeitpläne und hohe Ansprüche gehören zu Bankprojekten dazu. Uns reizen genau solche Aufgaben, und wir freuen uns über Kolleginnen und Kollegen, denen es gleich geht.#GemeinsamGewinnenWir feiern gerne zusammen. Wir waren zum Beispiel schon mit dem Mountainbike in den Schweizer Bergen unterwegs und auf Teamreise in Pristina und Albanien. Fürs Essen ist immer gesorgt.#NieAusgelerntBei Aus- und Weiterbildungen unterstützen wir dich, abgestimmt auf deine Ziele. Vieles lernst du aber auch im Alltag, im Austausch mit Leuten, die in ihrem Fach richtig gut sind.Noch nicht in Zürich?Dann hilft dir unser Relocation-Partner beim Ankommen.Bitte beachten Sie, dass Bewerberdossiers von Personalvermittlungen oder Headhuntern nur nach vorheriger Absprache berücksichtigt werden. Unaufgefordert eingereichte Dossiers werden als Direktbewerbungen behandelt.Kontakt bei Rückfragen:Daniela Forster, Head of HRjobs@oepfelbaum.comTel. 078 212 94 17 last updated 44 week of 2026

Senior Site Reliability Engineer — Token Factory (Inference Platform)

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale. To deliver on that promise, we need an engineer who can make the platform behave flawlessly under extreme load and recover gracefully when the unexpected happens. In this role you will own the reliability, performance, and observability of the entire inference stack. Your day starts with designing and refining telemetry pipelines — metrics, logs, and traces that turn hundreds of terabytes of signal into clear, actionable insight. From there you might tune Kubernetes autoscalers to squeeze more efficiency out of GPUs, craft Terraform modules that bake resilience into every new cluster, or harden our request-routing and retry logic so even transient failures go unnoticed by users. When incidents do arise, you’ll rely on the automation and runbooks you helped create to detect, isolate, and remediate problems in minutes, then drive the post-mortem culture that prevents recurrence. All of this effort points toward a single goal: scaling the platform smoothly while hitting aggressive cost and reliability targets. Success in the role calls for deep fluency with Kubernetes, Prometheus, Grafana, Terraform, and the craft of infrastructure-as-code. You script comfortably in Python or Bash, understand the nuances of alert design and SLOs for high-throughput APIs, and have spent enough time in production to know how distributed back-ends fail in the real world. Experience shepherding GPU-heavy workloads — whether with vLLM, Triton, Ray, or another accelerator stack — will serve you well, as will a background in MLOps or model-hosting platforms. Above all, you care about building self-healing systems, thrive on debugging performance from kernel to application layer, and enjoy collaborating with software engineers to turn reliability into a feature users never have to think about. If the idea of safeguarding the infrastructure that powers tomorrow’s multimodal AI energizes you, we’d love to hear your story. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Senior Site Reliability Engineer (SRE, Compute Node Team)

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We are looking for a Senior Site Reliability Engineer (SRE) to join the Compute Node team at Nebius AI Cloud. The Compute Node team is responsible for building and operating the cluster scheduler and node-level services that run and manage virtual machines across all cloud regions. This role focuses on Linux systems engineering, virtualization and operational reliability. You will work close to the operating system and hypervisor, shaping how reliability and observability are embedded into the Compute platform. Your responsibilities will include: Ensure reliability, availability and performance of compute nodes running VMs Analyze and debug Linux systems across user space and kernel space, understanding capabilities, limitations and trade-offs at each layer Troubleshoot complex production issues involving CPU, memory, NUMA, cgroups and scheduling Work hands-on with virtualization and containerization, primarily using QEMU/KVM and Linux-native technologies Design and evolve observability as a core capability of the node layer: metrics, logs, traces, alerts, SLIs and SLOs Lead incident response, root-cause analysis, and postmortems, driving long-term reliability improvements Collaborate closely with platform, kernel/hypervisor, GPU and infrastructure teams to improve system design and operability We expect you to have: Strong Linux expertise: deep understanding of Linux user space and kernel space knowledge of kernel subsystems (scheduler, memory management, filesystems, cgroups, namespaces) clear understanding of system boundaries and constraints at different layers Virtualization experience: hands-on experience with QEMU/KVM understanding of VM lifecycle, performance characteristics and failure modes Containerization knowledge: practical experience with containers, namespaces and cgroups strong understanding of resource isolation and control Strong debugging skills: ability to reason about complex system failures structured, hypothesis-driven approach to incident analysis SRE mindset: clear understanding of the SRE role in system design and operations experience building and operating observability stacks, not just consuming them ability to turn system behavior into actionable reliability signals Nice to Have / Optional: Experience with Kubernetes internals or node-level components Hands-on experience with low-level Linux debugging tools (e.g. perf, eBPF, ftrace, strace, kernel crash dumps) Familiarity with large-scale compute or bare-metal platforms Contributions to open-source infrastructure or system software Experience debugging hardware and driver-level issues, including GPUs, NVLink, InfiniBand Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Senior Site Reliability Engineer (SRE)

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role Your responsibilities will include: Ensure fault-tolerance, scale, and uninterrupted operations for the service. Use cutting-edge cloud technology to solve a variety of infrastructure problems. Implement and improve CI/CD processes. We expect you to have: Solid experience with programming languages (like Go, Python, or C++); Solid understanding of classic algorithms and data structures; Commercial experience with and deep understanding of Unix systems and network technology; Experience with systems for containerization and configuration management (Ansible, Salt, Terraform, Docker, K8s, Helm). It will be an added bonus if you have: Desire to be involved in backend development; Experience designing, developing, and running high-load distributed systems; Commercial experience with a variety of cloud platforms. We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Senior Site Reliability Engineer (DevTools)

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role We're an SRE team within DevTools, looking for someone ready to help maintain and grow our systems. We run 25k builds a day in TeamCity, store 100 TB of artifacts in Artifactory, and work with a massive monorepo in GitLab — comparable in scale to what you'd find at FAANG companies. We modify GitLab and build our own TeamCity plugins to give users a product that meets their needs. We're also experimenting with AI — we have our own RAG setup and are figuring out how to operate in the age of agents. Our goal: understand users' problems and requests, define metrics that capture the problem, improve those metrics, and verify that the user's problem is actually gone. Your responsibilities will include: Improving services based on user feedback Building fault-tolerant, self-healing architecture Finding ways to speed up our systems and reduce user friction Modifying well-known closed- and open-source solutions Supporting our users We expect you to have: A combination of SRE and SWE experience (for us that's a 50/50 split). Our code is in Java/Kotlin, Go, Python, and Ruby An understanding of what's happening under the hood in Unix-like systems and the JVM A passion for improving the user experience The ability to adapt quickly on the fly in a fast-changing environment It will be an added bonus if you have: Experience in Platform Engineering Experience operating GitLab (or another VCS) and TeamCity (or another CI system) Experience with Spring and operating Java monoliths We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.