Senior Python Engineer

Job description

WHAT YOU’LL DO - Take ownership of complex backend systems end-to-end - from scoping and architecture to high-quality, reliable delivery - Design and build robust, scalable APIs and distributed systems that power our products and deliver exceptional performance - Collaborate closely with Product, Frontend, and Design teams to translate product ideas into well-architected backend solutions - Push the boundaries of what’s possible with modern backend technologies, driving innovation in both architecture and developer experience - Contribute to evolving our backend architecture, infrastructure, and developer tooling to support rapid iteration at scale - Proactively identify opportunities to improve system performance, reliability, and developer experience - and drive those initiatives through to execution WHAT WE’RE LOOKING FOR - 5+ years of professional backend engineering experience, ideally in fast-paced startup or high-growth environments - Deep expertise in Python and FastAPI, with a proven track record of building and scaling production systems - Experience designing and implementing APIs (REST, GraphQL, or gRPC) that power user-facing products - Strong experience working with SQL databases (e.g. PostgreSQL), including schema design, query optimization, and data modeling for production systems - Familiarity with cloud-native architectures, ideally on GCP (e.g. Cloud Functions, Cloud Tasks, Firestore) - Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code - Familiarity with Vertex AI and ML specific infrastructure - Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK - Languages: Python, TypeScript - Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - You’ve personally built and scaled a system (e.g. side project, startup, open-source) that handled significant traffic or complexity, and learned real lessons from it - Background working on AI products or data-heavy applications - Academic background in Computer Science or a related technical field - Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin