Senior Anti-Bot / Scraping Engineer at Adthena

About The Role

Join Adthena, a leading provider of AI-powered search intelligence. As a Senior Anti-Bot Engineer, you will design, build, and operate large-scale web scraping systems, focusing on Google and similar search environments. You will work on complex scraping problems, engineer robust extraction pipelines, and collaborate with data engineers, data scientists, and product teams. Enjoy a range of benefits, including flexible working, stock options, and comprehensive medical insurance.

Design, build, and operate large-scale, resilient web scraping systems, with a strong focus on Google and Google-like search environments.
Continuously adapt to changes in page structure, request flows, and anti-automation mechanisms, and engineer robust extraction pipelines.
Monitor scrape health, detect failures early, and rapidly debug production issues, while optimizing performance, cost, and latency across scraping infrastructure.

Strong professional experience with Python (or another main language, i.e. GoLang, Rust, JavaScript) including production-grade scraping systems
Deep hands-on experience scraping Google or similarly protected platforms
Experience running scrapers at scale in cloud environments
Strong knowledge of HTML parsing, DOM traversal, and data extraction techniques
Solid understanding of HTTP, TLS, cookies, headers, redirects, and browser networking behaviour
Experience with tools such as Playwright, Selenium, Puppeteer, or equivalent browser automation frameworks
Experience with headless browser fingerprinting and anti-bot evasion techniques
Strong debugging skills and ability to reason about complex failure modes
Experience handling rate limiting, CAPTCHA, IP rotation, and bot detection systems
Comfortable working with asynchronous and concurrent scraping architectures
Pragmatic problem-solving in hostile and fast-changing technical environments
High ownership of systems that run continuously and at scale
Ability to explain complex technical behaviour clearly to non-specialists
Curiosity about how large platforms evolve their defences and infrastructure
A strong bias toward reliability, correctness, and observability
Familiarity with containerisation and orchestration, such as Docker and Kubernetes
Experience with distributed task systems and job queues
Background in data quality monitoring and anomaly detection
Experience working with search, advertising, or competitive intelligence data