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.
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 RoleWe are looking for a Senior Software Engineer to work on the web access infrastructure of a novel search engine tailored for agentic AI consumption.
In this role, you will focus on making our access to public web content reliable and efficient. You will investigate how modern websites and browsers communicate across the full request lifecycle, find the root cause when a request fails or returns something unexpected, and build the fixes into production systems operating at internet scale. Your work ensures that high-quality content is consistently available to the crawling, indexing and retrieval systems downstream.
In this position, your responsibility will be to
- Diagnose failed or degraded requests at the right layer: network and IP, TLS and HTTP/2 behavior, headers and session state, client-side scripts, or browser characteristics
- Analyze how websites verify and classify clients, including how client-side scripts and protocol-level behavior shape what a site serves to different clients
- Build clients and tooling that behave consistently and compatibly with standard browsers across all of these layers, using a real browser where a lightweight client is not enough
- Monitor access quality as websites change: detect regressions, find the cause, and measure success on real content rather than on status codes
- Build the tooling to do this at scale: traffic capture and comparison against real browsers, per-site and per-method success tracking, and the cost of each successful fetch
- Choose the fetch method for each host, from a lightweight HTTP client to a full browser, balancing quality against cost
You may be a good fit if you
Have 5+ years of experience building production systems, and are an expert in several of the following areas.
The request lifecycle
- HTTP/1.1, HTTP/2 and HTTP/3, TLS handshakes and TLS fingerprints (JA3/JA4), and header behavior
- What a server can observe at each step of a request, and what a client controls at each step
- A debugging method, not guesses: replaying captured browser traffic, comparing against a real browser on the same network path, and changing one variable at a time
Client-side analysis
- Reading and analyzing complex or obfuscated JavaScript, and observing what a script measures by hooking browser APIs
- How browser, device and network characteristics are measured (canvas, fonts, WebGL, screen and window metrics) and how consistent they are across layers
- Browser instrumentation and the Chrome DevTools Protocol, used as tools for investigation
Running it for real
- Have run this in production and can give numbers: requests per day, sites or hosts, and the success rate and how you measured it
- Strong programming in at least one of Go, Python, Rust or C++
Strong candidates may also have experience with
- Working at a web data provider, a browser or web-security company, or a company that collects data from complex sources
- Contributions to browser networking or fingerprinting-related open-source tooling, or public write-ups of how client verification works
- Building or maintaining a patched browser
- Networks, proxies and IP reputation
- Internet-scale distributed systems, Kubernetes and cloud infrastructure
The kind of problems you will work on
- A site returns a different response to our client than to Chrome on the same network path. Find out why, and fix that cause.
- A site changes how it verifies clients and success drops across a group of sites. Find what changed, adapt, and make the next change cheaper to catch.
- Switching to a browser-like network profile makes results worse on some hosts. Work out what no longer matches.
We conduct coding interviews as part of the process.
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.
