Senior Software Engineer - Search Runtime
full-time
senior
Posted 2 weeks ago
About this role
Why work at Nebius 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. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 1400 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team.
The Product
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.
The Role
We are looking for a Senior Software Engineer to work on the runtime systems of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on building low-latency, high-throughput systems that serve search queries in real time. You will work on the critical path of user-facing requests, where performance, predictability, and efficiency directly impact product quality. You will design and operate systems that handle thousands of requests per second under strict latency budgets, optimising every layer from request handling to data access and response assembly.
In this position, your responsibility will be to
Design, implement, and operate core runtime services for serving search queries at scale
Build and optimise request flows, including query processing, retrieval orchestration, and response assembly under strict latency budgets
Develop systems that maintain performance and predictability under high load
Optimise CPU, memory, and data access patterns in performance-critical paths
Ensure reliability, observability, and predictability across production services
Build well-tested systems with clear responsibilities and interaction contracts, while remaining flexible as architecture evolves
Define and implement observability primitives, including structured logs, metrics, traces, and latency breakdowns
Monitor throughput, latency, and resource usage, and drive improvements in performance and cost efficiency
Collaborate with indexing and ML teams to integrate retrieval and ranking components, keeping ML logic decoupled from core system internals
Support experimentation and iteration through controlled rollouts and rigorous benchmarking
You may be a good fit if you:
Have 5+ years of experience as a software engineer working on production backend systems
Have strong hands-on expertise in C++ or Rust in real-world, high-load services
Have built and operated high-load, low-latency user-facing systems handling thousands of RPS under strict latency constraints
Understand performance at a systems level — CPU, memory, networking, and data access
Have operated your own code in production: deployed it, debugged incidents, and rolled back changes when necessary
Think end-to-end about request flows rather than staying within isolated components
Can balance correctness, latency, and development velocity, making pragmatic tradeoffs when scope or time requires
Collaborate effectively across engineering, ML, and product teams, communicating clearly in cross-functional settings
Strong candidates may also have experience with:
DBMS internals (open source or SaaS) and cloud infrastructure
High-load web applications or large-scale APIs
Performance-critical systems such as trading platforms or real-time data pipelines
Low-level performance tuning and hardware-level optimisation
Open-source contributions or active involvement in the engineering community
Competitive programming or CTF participation
SHAD or similar advanced technical programmes
Conference talks or technical publications
We conduct coding interviews as part of the process.
What we offer
Competitive salary and comprehensive benefits package.
Opportunities for professional growth within Nebius.
Flexible working arrangements.
A dynamic and collaborative work environment that values initiative and innovation.
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
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