About the role
From the employer’s listing · Tower · posted 2 July 2026
Tower is a Python-native serverless data platform. Data teams write plain Python, and we handle packaging, dependency resolution, scheduling, and execution across a serverless runtime built on Apache Iceberg. There's no clusters to manage, no YAML to write, no pipelines to rewrite to fit someone else's engine. If you've ever wanted your local Python script to just run in production at scale without a Databricks detour, that's the product. We're a small, senior team split between London and Berlin. We've built a lot of tech: Custom run dispatch service, multi-region routing, storage based on Apache Iceberg, and the runtime itself, to name a few. This is deep systems work--things like scheduling, distributed execution, and performance. We're not gluing SaaS together. Stack: Go and Rust for the platform, Python everywhere it matters, Kubernetes (EKS + Karpenter) on AWS, RDS Postgres, ElastiCache Redis, S3/Iceberg, WorkOS for auth. Looking for:
- strong distributed-systems fundamentals
- comfort owning a system end to end
- taste for correctness under load
Bonus: data-platform, query-engine, or Iceberg experience; async Rust; Kubernetes internals.