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
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
Languages: Python, TypeScript
Backend: GCP, Vertex AI, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Clickhouse
AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.
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
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
Hybrid (minimum three days in the office)
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