Senior Backend Engineer - Team Decide

About the role

We're looking for a Senior Backend Engineer to join our engineering teams. Depending on your strengths and interests, you'll focus on one of two areas: building the data infrastructure that powers our feature computation platform, or designing the distributed execution engine that runs customer workflows.

What you'll do

• Build and operate backend services in Python on AWS - Lambda functions, DynamoDB, Aurora, and event-driven pipelines that handle real production traffic. You'll leverage agentic AI tools as part of your daily workflow.
• Tackle hard backend problems - latency, reliability, and scale are everyday concerns.
• Own your systems end-to-end: from architecture and implementation to deployment, monitoring, and incident response.
• Make key architectural decisions - you'll have real authority over how things are built, not just what gets built.
• Raise the bar for the team through code reviews, mentoring, and improving our development tooling and processes.
• Work directly with Product and Design to shape what we build next.

What you'll need

• At least 5 years of professional software engineering experience, with a proven track record of leading complex projects in a senior capacity (2+ years).
• Deep expertise in Python and building backend systems on cloud platforms (we use AWS).
• Strong system design skills - you're comfortable making architectural trade-offs and defending them.
• Depth in at least one of these areas: data pipelines and storage, event-driven architectures, caching and performance, or serverless systems. You don't need all of them.
• Strong communication and collaboration skills, with the ability to align technical and non-technical stakeholders on a shared vision.
• The ability to work in a hybrid model from our Berlin HQ, the London office, or the Iasi hub. Please note that relocation assistance is not provided for this role.

Nice to have

• Apache Iceberg, AWS Athena, AWS Glue, or Apache Spark
• Streaming / real-time data pipelines (Kinesis)
• EventBridge, SQS, or similar messaging systems
• Multi-level caching strategies (Redis, DynamoDB, in-memory)
• Serverless at scale (Lambda, SAM, CloudFormation)

What they offer

• Top-of-market equity and cash compensation package
• Self-development budget for conferences, books or classes
• New Apple MacBook Pro and meaningful home office set-up
• Flat hierarchy with direct communication to founding team members
• Learning from experienced mentors and access to network of leading tech investors