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Oxylabs, part of Source, is hiring for a role focused on building scalable scrapers and back-end solutions for scraping and parsing at scale. You will define resilient scraping strategies, unblock websites for scraping, and improve system observability while maintaining and extending the current scraping infrastructure.
The ideal candidate has strong Python experience, solid CS fundamentals, and hands-on experience with browser automation, asynchronous programming, and related tooling such as
Oxylabs is an enterprise-grade web data infrastructure, purpose-built for organizations operating at global scale. It helped define what public web data access could look like and still sets the standard others build against. That same ambition runs through the culture: engineers take ownership of problems no one else has solved and push each other to raise the bar.
A word from the team:
We run one of the most advanced and largest scraping and parsing products in the world. We serve thousands of requests per second with a very high success rate. Our scrapers and parsers are used by leading e-commerce, market intelligence, and AI industry players making the work challenging and truly global. The team is a blend of different interesting personalities from different walks of life and nationalities. Here you can find people who are experts in gaming, playing guitar, riding bicycles, and other areas. We, as a team, will support you in learning how to build your own scrapers and will share all the tips, tricks and hacks we know to ensure that you are onboard in no time.
In this role, you’ll:
Your skills & experience:
Nice to have:
Salary:
Oxylabs is part of Source, a data ecosystem for a world built on intelligence. One of five independent technology companies connected by shared standards, expertise, and a belief in responsible access to web data.
Up for the challenge? Let’s talk!