IntroductionWe’re a B2B SaaS company based in Vilnius, Lithuania developing industry leading web data gathering solutions.Our team of 500+ professionals builds cutting-edge web data gathering solutions used by global businesses, including Fortune 500 companies.Born out of the Tesonet business accelerator alongside NordVPN and Surfshark, we’ve been growing steadily for 9 years — and there’s more to come. With 3500+ clients worldwide and a portfolio of 100+ tech patents, we’re on the run for continuous engineering excellence and innovation.What’s in store for you:In this fully remote position, you’ll be developing complex products and working with an infrastructure processing petabytes of data. Expect challenges that will elevate your expertise, loads of ownership, the latest tech stack, and effective collaboration with a large team of engineering professionals.Your day-to-day: Develop scalable scrapers. Define resilient scraping strategies, unblock websites for scraping. Improve observability in the system. Develop back-end solutions for scraping & parsing problems of various magnitudes. Maintain the current system and develop new features related to scraping & parsing. Your skills & experience: Experience working with Python. Understanding of computer science, including data structures, algorithms, computability and complexity. Version Control skills using Git. Knowledge on how to unblock websites for scraping. Is able to use different scraping techniques & open-source tools to build scrapers. Is comfortable with using Dev Tools. Network (TLS/SSL) knowledge. Worked with browser automations. Knows their way around asynchronous programming. Nice to have: Web development knowledge. Knows how to use CSS Selectors / XPaths for parsing. Experience working with Go & C++. Worked on browser source code. Knowledge of any front-end framework. Experience working with Pydantic, FastAPI, SQLAlchemy. Has experience working with Redis, MySQL, Docker, Kubernetes, Elasticsearch, Kibana and monitoring tools like Grafana, Prometheus. Experience with machine learning that is scraping domain-specific. Has experience in building scalable systems.