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Posted 3 weeks, 3 days ago

Tower

Platform Engineer

View on Hacker News Company site

Roles

Platform Engineer Senior Backend Engineer

Compensation

Bonus
Bonus: data-platform, query-engine, or Iceberg experience; async Rust; Kubernetes internals.

Tech stack

Amazon ElastiCache for Redis Apache Iceberg experience WorkOS Postgres Karpenter Kubernetes Python Amazon RDS for PostgreSQL Rust Kubernetes internals Query-engine experience Amazon EKS Go AWS Amazon S3 Redis async Rust Data- experience Apache Iceberg

Required

PythonGoRustKubernetesAmazon EKSKarpenterAmazon RDS for PostgreSQLPostgreSQLAmazon ElastiCache for RedisRedisAmazon S3Apache IcebergWorkOS

Nice to have

Async RustKubernetes internalsData-platform experienceQuery-engine experienceApache Iceberg experience

Location

London, Berlin

Work setup

Employment
full-time
Level
Senior
Remote policy
Hybrid (London or Berlin)
Remote scope
hybrid

Role details

Responsibilities

  • Work on deep systems components such as scheduling, distributed execution, and performance
  • Own systems end to end
  • Build and maintain the serverless data platform runtime built on Apache Iceberg

Requirements

  • Strong distributed-systems fundamentals
  • Comfort owning a system end to end
  • Taste for correctness under load

Application

Apply / questions: Email in bio — mention HN.

Portfolio
not required
GitHub
not required
Cover letter
not required
Apply flow
email

Company context

Product
Python-native serverless data platform built on Apache Iceberg
Industry
data platform
Size
small
Stage
startup
Funding
$6.4m→
Open source
Apache Iceberg, Snowflake, Spark, dbt Core, dltHub, Polars, DuckDB, Lakekeeper, Apache Polaris, Snowflake Open Catalog, Cloudflare R2, OpenAI, LangChain, Ollama, llama.cpp, HuggingFace

Description

Tower (tower.dev) is a Python-native serverless data platform company. Data teams write plain Python, and Tower handles packaging, dependency resolution, scheduling, and execution across a serverless runtime built on Apache Iceberg. The product aims to let local Python scripts run in production at scale without a Databricks detour. The team is small and senior, split between London and Berlin. Role: Senior Backend / Platform Engineer (Hybrid). The work is deep systems work including scheduling, distributed execution, and performance. Stack includes Go and Rust for the platform, Python everywhere it matters, Kubernetes (EKS + Karpenter) on AWS, RDS Postgres, ElastiCache Redis, S3 / Iceberg, and WorkOS for auth. Looking for: strong distributed-systems fundamentals, comfort owning a system end to end, and taste for correctness under load. Bonus: data-platform, query-engine, or Iceberg experience; async Rust; Kubernetes internals. Application: Apply / questions via email in bio — mention HN.

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