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.
We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform.
In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost.
In this position, your responsibility will be to
- Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines.
- Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves
- Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components
- Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments
- Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it
- Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals
- Monitor resource usage, bandwidth consumption, and infrastructure cost
- Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics
You may be a good fit if you:
- 5+ years of experience building product critical backend services
- Strong Go and Python Experience
- Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines)
- Understanding of Information Retrieval flows and pipelines
- Experience operating production systems and debugging failures in distributed environments
- Strong understanding of scalability, fault tolerance, and resource management
- Are interested in either a strong senior IC role or a role with significant technical leadership and ownership.
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.
