Used Tools & Technologies
Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Kubernetes @ 4
Linux @ 4
Python @ 7
SQL @ 4
NoSQL @ 4
Algorithms @ 4
Data Structures @ 4
Distributed Systems @ 4
MongoDB @ 4
PostgreSQL @ 4
SRE @ 4
Performance Optimization @ 4
Cloud Computing @ 4
Observability @ 4
AI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries without massive infrastructure costs or the need to build large in-house AI/ML teams. Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The company has a team of over 800 employees, including more than 400 engineers with expertise across hardware and software engineering and an in-house AI R&D team.
Team/Department
This role is listed under the Hardware Automation department and will work closely with infrastructure and SRE teams as well as other engineering groups.
Responsibilities
- Design and implement distributed backend systems
- Own services end-to-end: architecture, development, testing, deployment, and production support
- Work closely with infrastructure, SRE, and GTM teams to deliver robust solutions
- Improve system performance, reliability, and observability
- Participate in technical design discussions and mentor other engineers
- Make pragmatic trade-offs between speed, quality, and long-term maintainability
- Contribute to architectural decisions that impact system scalability, cost efficiency, and platform evolution
Requirements
- 5+ years of experience building backend systems in production
- Strong proficiency in Python (Go is a strong plus)
- Experience with distributed systems and high-throughput services
- Solid understanding of data structures, algorithms, and system design
- Hands-on experience with databases (SQL, MongoDB, PostgreSQL, NoSQL)
- Experience working in Linux environments
- Ability to debug complex production issues
- A track record of owning systems in production and making sound technical decisions under real-world constraints
Nice to have
- Experience with cloud platforms or infrastructure-level systems
- Knowledge of Kubernetes, containers, or service meshes
- Background in performance optimization or low-latency systems
- Familiarity with observability tools (metrics, logging, tracing)
Benefits
- 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
- Competitive salary and comprehensive benefits package, opportunities for professional growth, flexible working arrangements, and a collaborative work environment
Compensation
We offer competitive salaries: $140k - $200k base plus quarterly performance bonuses.