Software Engineer - Scraping Specialist

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 RD 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 RD team. The Role Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact. As a Software Engineer - Scraping Specialist, you’ll build the systems that power how AI interacts with the live web. You’ll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data. This role blends technical understanding of browsers, networks, and automation with hands-on engineering. You’ll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale. Your work will directly shape Tavily’s ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning. What You’ll Do Build distributed data acquisition systems that capture and structure the live web Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP) Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor Continuously evolve Tavily’s capabilities in resilience, speed, and authenticity of web interaction What We’re Looking For 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments Solid understanding of browser internals, network protocols, and web interaction mechanisms Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly Excellent documentation and communication skills to ensure smooth integration and operational visibility Nice to Have Familiarity with cloud infrastructure, containerization (Docker), Kub ... (truncated, view full listing at source)