Nebius Logo

Nebius

Senior Software Engineer (Agentic Search) - Runtime

Reposted 12 Days Ago
Be an Early Applicant
In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
The Senior Software Engineer will develop low-latency, high-throughput systems for a novel search engine. Responsibilities include optimizing request flows, ensuring reliability, and collaborating with indexing and ML teams.
The summary above was generated by AI

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!

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.

Similar Jobs

6 Hours Ago
Easy Apply
Hybrid
Easy Apply
Mid level
Mid level
Sales • Software • Travel
As a Full Stack Engineer, you'll design and implement features for a large-scale web application while maintaining focus on reliability and performance. Collaborating with cross-functional teams, you'll write clean, tested code and ensure high-quality standards throughout the development process.
Top Skills: AngularCSSDjangoHTMLJavaScriptNoSQLPythonSQLVue
6 Hours Ago
Easy Apply
Hybrid
Easy Apply
Mid level
Mid level
Fintech • Payments • Financial Services
The Data Analyst will automate and scale regulatory reporting, collaborate with teams, create data pipelines, and ensure report accuracy.
Top Skills: Bi ToolsBig Data ToolsLookerPysparkPythonSQL
6 Hours Ago
Easy Apply
Hybrid
Easy Apply
Senior level
Senior level
Fintech • Payments • Financial Services
The Data Analyst will build data capabilities for Enterprise Risk, optimize BI infrastructure, automate risk assessment processes, and champion data governance.
Top Skills: AirflowGitHadoopLookerPysparkPythonSparkSQL

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account