• Build and scale crawlers that handle dynamic, large-scale sites, and keep them running as those sites change and fight back.
• Stay ahead of anti-bot measures: TLS/browser fingerprinting, proxies, session and rate-limit strategy, and change detection.
• Turn raw HTML and PDF into clean, correct structured data (including LLM-assisted extraction), where silently wrong output is worse than a crash.
• Design and operate pipelines for ingestion, deduplication, versioning and enrichment.
• Ship and run containerized apps in the cloud, with CI/CD.
• Shape our technical architecture and engineering culture.

• 3+ years of professional software development (5+ for the senior track).
• Strong Python: real production code, async.
• Hands-on web scraping at scale, including firsthand experience with anti-bot defenses and the failure modes of large-scale collection.
• A data-correctness mindset: you care that extracted data is right, not just that the job finished.
• Docker, at least one major cloud (GCP, Azure or AWS), Git and comfort on the CLI.
• A clear communicator who works well in a small, fast-moving team.

Nice to have:

• LLM-assisted extraction or other work with LLMs, ML pipelines or data labeling workflows.
• Go or Java/Spring Boot.
• Frontend (React), or eagerness to pick it up.
• Terraform, Kubernetes and modern DevOps tooling.

• A vibrant in-office culture in Munich, with the option to work from home up to 60% of the time.
• Flexible working hours.
• 30 vacation days per year (including 4 "company rest days" over Christmas).
• 30 days of "workation" per year, within the EU and selected countries.
• High autonomy and flat hierarchies.
• EGYM Wellpass for unlimited access to fitness courses and gyms.
• Udemy access for online courses.
• Company pension scheme (bAV) with our partner Ginkgo