Senior Platform Engineer

At dltHub, we're building on the success of dlt, the most popular open-source library for data loading in Python with over 2 million monthly downloads. After proving its value in the OSS community, we’re now building dltHub to make data engineering accessible to all Python developers.dltHub is a workspace and runtime that empowers any Python developer to build, run, and maintain data pipelines, transformations, and notebooks, without needing a data platform or infrastructure team.

Our team is based in Berlin, now growing into other locations, especially across the US. Founded by experienced data and ML engineers, we're backed by Foundation Capital, Dig Ventures, and technical founders from Hugging Face, Instana, Matillion, Miro, MotherDuck, Datadog, Mode, and Rasa.

Why we want to hire you

We’re building a new service, ground-up, that brings together the dlt library, an LLM-first development workspace, and data-lake storage and runtime for pipelines and notebooks. To make this real at scale, we’re hiring a Platform Engineer to own the infrastructure, provisioning, and automation layer: multi-cloud Kubernetes, secure networking, storage, identities/secrets, CI/CD, GitOps, and the paved-road tooling that makes all of this simple for our product and data teams. You’ll turn complex cloud/K8s plumbing into clean Pythonic automation and self-service.

You’ll be part of the CTO’s team, working across tech and product. Here are some of the people you’ll be working with.

Learn more about what you’ll do

If you're curious about working with us, here are a few things to look into: dltHub Announcement, OSS roadmap, OSS docs and OSS board.

What you’ll do

• Design, provision, and operate our core platform: multi-env/multi-region Kubernetes clusters; networking, security, and identities; storage (object store, tables/iceberg/“DuckLake”), and runtime for Python jobs, notebooks, and services.
• Build code abstractions: Python CLIs/SDKs, templates, and controllers that abstract infra into simple workflows.
• Define IaC standards (Terraform, Helm) for everything: clusters, apps, policies, and data runtimes.
• Design and implement platform control plane: end user secrets management, cost controls, tenant/resource limits, SSO, and scheduling.
• Ship observability as a product: metrics/logs/traces, golden dashboards, SLIs/SLOs, runbooks, and incident/postmortem practice.
• You’ll work intensively with the CTO and software engineers in the team on all of the above.

Requirements

What makes you a great fit

Must-haves

• 5+ years in Platform/SRE/DevInfra roles (or equivalent impact) building and running production systems.
• Strong Python used for automation/tooling (CLIs, bots, controllers/operators, SDKs).
• Deep Kubernetes experience (cluster ops, Helm/Kustomize, controllers/operators, container networking).
• Practical observability (Prometheus/Grafana/OpenTelemetry or similar), performance tuning, and incident response.

Nice-to-haves

• Running Python data pipelines/apps in product