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.

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.

Senior Software Engineer – Agentic Search, Scraping

Key skills