About the company
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.
We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed.
We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world.
Responsibilities
- Managing Kubernetes clusters across multiple environments and regions
- Owning infrastructure as code for all resources
- Maintaining and improving CI/CD pipelines and GitOps-based deployments
- Maintaining and optimizing real-time data pipelines that process billions of events per day across distributed queues and stream processors
- Building out monitoring, alerting, and observability
- Debugging production issues across services
- Managing cloud costs and capacity planning
- Working closely with a small engineering team — you'd own infra, not a slice of it
Requirements
- 5-8 years in a DevOps or SRE role, working in production environments
- Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
- Strong Kubernetes experience in a managed cloud environment
- Proficiency with infrastructure as code (Terraform or similar)
- Experience with GitOps-based deployment workflows
- Built or maintained observability stacks (logging, metrics, alerting)
- Experience handling production incidents calmly and methodically
Nice to have:
- Multi-region deployments
- Search infrastructure
- Data pipeline experience (streaming, warehousing)
- Proxy/networking infrastructure at scale
Conditions
- Full ownership — small team, you own the entire infrastructure, not a slice of it
- Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
- AI-native company — your infra directly powers AI agents used by leading companies in the space.
Key employee benefits in the US:
- Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
- 401(k) plan: Up to 4% company match with immediate vesting.
- Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
- Remote work reimbursement: Up to $85/month for mobile and internet.
- Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range: $147,200 — $224,000 USD
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