2 months ago
Vilnius, LithuaniaMid Level
Responsibilities
- Design and build high-scale crawlers, scrapers, parsers, and supporting infrastructure for thousands to millions of requests.
- Own custom scraping projects end to end, from client requirements through delivery.
- Write reusable Python or Go code and use AI-driven development tools to improve output and efficiency.
- Work within the data platform to build and deliver large datasets.
- Use internal scraping tools or develop new tools as project priorities change.
- Justify technical decisions, conduct code reviews, and collaborate with the team on quality solutions.
Requirements
- Multiple years of backend development experience with Python or Go, or strong web-scraping expertise supported by AI tools.
- Familiarity with web-scraping fundamentals, parsing, headless browsers, and PostgreSQL or BigQuery.
- Ability to work independently, align on an approach, and own delivery.
- Business-first, delivery-focused approach with comfort receiving direct feedback.
- Hands-on experience and strong comfort with AI-driven development tools such as Cursor, Claude Code, or Antigravity.
- Preferred: experience with data engineering, ETL/ELT pipelines, Spark, Airflow, or Dagster.
Benefits
- Gross salary of €4,400–€7,000 per month, with flexibility based on skills and competencies.
- 40+ internal learning options, external conferences, mentorship, and year-round knowledge sharing.
- Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Team events, an overseas workation, quarterly team-building budgets, and milestone celebrations.
- Bonus vacation days, paid life-moment days off, barista coffee, and provided work tools.
Tech Stack
Categories
BackendData Engineering
About Oxylabs
Oxylabs builds proxy networks, web scraping APIs, and ready-made datasets for enterprises that need large-scale access to public web data. Its products include residential and datacenter proxies, scraping and parsing services, and tools for use cases like pricing intelligence, SEO monitoring, ad verification, and market research. Founded in 2015 and headquartered in Vilnius, Lithuania, the privately held company serves customers that include Fortune 500 firms.