Senior Site Reliability Engineer (DevTools)
Level inferred from job title
Job description
Site Reliability Engineer role in a DevTools SRE team maintaining and growing large-scale build and source-control systems (TeamCity, Artifactory, GitLab). The role combines SRE and software engineering work to improve reliability, speed and user experience.
At a glance
- Work mode
- Remote
What you'll do
- 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
What we're looking for
- 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
Nice to have
- Experience in Platform Engineering
- Experience operating GitLab (or another VCS) and TeamCity (or another CI system)
- Experience with Spring and operating Java monoliths
Your team
DevTools SRE team
SRE team within DevTools running 25k builds a day in TeamCity, storing 100 TB of artifacts in Artifactory, and working with a massive monorepo in GitLab; modifies GitLab and builds its own TeamCity plugins, and experiments with AI including its own RAG setup.
Benefits
- 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
How to get hired
- 1Coding interviews
Apply
About Nebius
Leading a new era in cloud infrastructure for the global AI economy
Nebius is building a full-stack AI cloud platform. Built by engineers, for engineers, from large-scale GPU orchestration to inference optimization, owning the hard problems across compute, storage, networking and applied AI.
Mission
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.
Key facts
- 1,500+
- Amsterdam
- AI cloud infrastructure
- Listed on Nasdaq (NBIS)
- Global footprint with R&D hubs across Europe, the UK, North America and Israel
- Team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D
What they value
- Fast moving
- Bold thinking
- Constant growth
- Meaningful impact
- Trust and real ownership
- Opportunity to shape the future of AI