About The Role

Design, build, and maintain large-scale Python-based scraping systems targeting highly protected websites (including Google-like environments).
Architect resilient extraction systems capable of handling dynamic, JavaScript-heavy pages using browser automation and hybrid approaches.
Continuously adapt systems to frequent changes in page structures, request flows, and anti-bot mechanisms.
Build robust, production-grade data extraction pipelines with strong emphasis on accuracy, observability, and fault tolerance.
Implement advanced strategies such as proxy rotation, fingerprinting, session management, and request routing to ensure stability at scale.
Monitor system health, proactively detect anomalies, and debug complex production failures across distributed systems.
Optimise scraping infrastructure for performance, cost efficiency, and reliability at scale.
Collaborate with data engineering and product teams to ensure scraped data is structured, validated, and trusted.
Operate and improve systems running continuously in cloud environments.
Document system architecture, scraping logic, and operational procedures for long-term maintainability.
Contribute to improving resilience, automation, and adaptability in adversarial environments.

7+ years of professional software engineering experience, with a strong focus on backend systems, data engineering, or distributed systems.
Proven experience building and operating large-scale production web scraping systems.
Deep hands-on experience scraping Google or similarly complex, heavily protected / anti-bot environments.
Strong expertise in Python (or comparable production languages such as Go, Rust, or JavaScript).
Strong understanding of HTTP internals: headers, cookies, TLS, redirects, sessions, and browser networking behaviour.
Experience with browser automation frameworks such as Playwright, Selenium, Puppeteer, or equivalent.
Strong knowledge of HTML parsing, DOM traversal, and high-performance data extraction techniques.
Proven experience handling anti-bot systems, including rate limiting, CAPTCHAs, IP rotation, and fingerprinting.
Experience designing asynchronous and concurrent systems for high-throughput workloads.
Strong debugging skills across distributed, failure-prone production systems.
Experience running cloud-based systems at scale with strong operational ownership.
Comfortable working in highly adversarial and fast-changing technical environments.

Experience with Docker and Kubernetes in production environments.
Exposure to distributed task queues or large-scale job orchestration systems.
Experience with monitoring, anomaly detection, or data quality validation systems.
Background in search intelligence, advertising tech, or competitive intelligence platforms.
Experience building systems that operate against high-defence web environments at scale.
Familiarity with observability tooling and production-grade system monitoring.
Exposure to AI-assisted development workflows or agentic coding tools.

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Anti-Bot Engineer (Remote, Full-Time), PK [HR177]