Senior Engineer: Building internet scale Web crawls
Engineering: Internet-Scale Web Crawling & Data Infrastructure
Location: Remote / Flexible
Type: Full-time
Salary: Highly competitive: up to $250K DOE + Equity
Our client is building next-generation AI systems that rely on massive, high-quality web data. We’re looking for engineers who have designed, built, or operated large-scale web crawlers. Systems that operate reliably across millions or billions of URLs.
This is a hands-on role for people who have worked close to the metal on web-scale data acquisition, not just consumed third-party datasets.
Well funded exciting start up firm who are leading the way in Web Data and AI!
Experience Required:
- Designing and building internet-scale web crawling pipelines
- Handling real-world challenges like:
- Rate-limiting, bot detection, CAPTCHAs, and dynamic content
- Distributed crawling, scheduling, and prioritisation
- Fault tolerance and crawl resumption at massive scale
- Extracting, normalising, and validating large volumes of web data
- Optimising for performance, cost, and data quality
- Working closely with AI and research teams to support model training and evaluation
Must have:
- Built or operated large-scale crawlers (millions+ of pages)
- Worked on search engines, data platforms, ad tech, AI datasets, or web archiving
- Designed distributed systems for high-throughput data ingestion
- Dealt with hostile or semi-hostile web environments
Strong experience with:
- Python, Go, Rust, or Java
- Distributed systems (queues, workers, schedulers)
- HTTP, HTML parsing, JS rendering (Playwright, Puppeteer, Selenium, etc.)
- Cloud infrastructure (AWS, GCP, or similar)
Package and benefits
- Work on hard, unsolved problems at true internet scale
- Direct impact on cutting-edge AI systems
- High-calibre engineering team
- Competitive compensation and meaningful equity
If you are experience and passionate about building internet scale web crawls, APPLY ASAP!
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