dltHub is an innovative company building on the success of dlt, their popular open-source library for data loading in Python with over 2 million monthly downloads. They're now expanding their offering with dltHub, a comprehensive workspace and runtime solution that democratizes data engineering for Python developers. Based in Berlin and expanding across the US, the company is backed by notable investors including Foundation Capital and Dig Ventures, with technical founders from industry leaders like Hugging Face, Instana, and Datadog.
As a Senior Platform Engineer, you'll be instrumental in building their new service from the ground up, combining the dlt library with an LLM-first development workspace and data-lake storage. You'll own the infrastructure, provisioning, and automation layer, working with multi-cloud Kubernetes, secure networking, storage, and CI/CD systems. The role requires expertise in Python automation, Kubernetes operations, and observability tools.
The position offers a unique opportunity to work directly with the CTO's team, influencing both technical and product decisions. You'll be responsible for designing and implementing core platform components, building code abstractions, and establishing infrastructure-as-code standards. The company values autonomy, efficiency, and automation, offering benefits like equity participation, professional development support, and a collaborative office-first culture with flexibility for deep work.
This role is perfect for experienced platform engineers who want to make a significant impact in a growing company that's revolutionizing data engineering accessibility. You'll work with cutting-edge technologies while helping build a product used by millions of developers worldwide.