Senior Backend Engineer

Backend Engineer

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 TypeScript and modern backend frameworks, 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

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: TypeScript

Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch

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

Hybrid (minimum three days in the office)