dltHub is seeking a Senior Platform Engineer to join their growing team, focusing on building and scaling their data engineering platform. The role combines infrastructure automation, platform engineering, and DevOps practices to support dltHub's mission of making data engineering accessible to all Python developers. The position offers a unique opportunity to work with modern cloud-native technologies and shape the platform's architecture from the ground up.
The ideal candidate will be responsible for designing and operating multi-cloud Kubernetes environments, implementing secure networking solutions, and building developer-friendly automation tools. They will work directly with the CTO's team, contributing to both technical implementation and product strategy. The role requires strong Python programming skills and deep knowledge of cloud infrastructure, particularly in Kubernetes and observability systems.
dltHub, backed by notable investors and technical founders from companies like Hugging Face, Datadog, and MotherDuck, is expanding their presence in the US while maintaining their Berlin headquarters. They offer a culture that values autonomy, efficiency, and automation, with a strong emphasis on personal and professional growth. The company provides competitive benefits, including equity through their ESOP program, learning and development budgets, and regular team offsites.
This is an excellent opportunity for an experienced platform engineer who wants to make a significant impact in a growing company that's already proven its value in the open-source community with over 2 million monthly downloads of their dlt library. The role combines the excitement of a startup environment with the technical challenges of building scalable, enterprise-grade infrastructure.