Senior Python Engineer
Berlin, Berlin, Germany On-site
€100,000–€150,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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
What you'll bring
- 5+ years of professional backend engineering experience
- 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
- 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
- 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