Product Engineering Tech Lead

What you bring to the team

• Builder and founder mindset. You have started things, shipped them, and lived with the consequences. You think about what is next, not only about fixing what is in front of you. Startup or founder experience is a strong signal here.
• You have built and operated systems on Kubernetes in production, and you are comfortable working from the ground up. This role is not about owning one slice of an existing system, or only operating infrastructure someone else designed. It is product work: building something new and owning the outcome.
• Durable execution experience. You have worked with durable, fault tolerant execution: retries, failover, durable state, and human in the loop. You understand the failure modes, not just the happy path.
• Serverless and function platforms at scale. Knative, KEDA, OpenFaaS, Fission, or similar. You know scale to zero, warm pools, cold start tradeoffs, and per request isolation.
• Streaming and long running workloads. Server sent events or websockets, long lived connections, and the operational reality of keeping them alive through deploys and node churn. Agentic or AI workloads are a plus.
• Operator instinct. Observability, alerting, service levels, and incident response are second nature. You hold the platform to a production grade standard because it has to work reliably for real customers.
• You can lead a team and connect strategy to robust architecture. You make the technical direction legible to the rest of the team and to the business.
• Comfortable in Python and with infrastructure as code (for example Terraform) in a cloud native stack.

Nice to have

• Built Kubernetes operators or controllers, or automated deployments as a system rather than a script.
• Taken a platform from zero to one all the way to production grade ownership.
• Open source contribution or maintenance background.
• Exposure to B2B SaaS, LLM, or agent infrastructure.

Benefits

• Remote-first setup with flexible hours & tech of your choice
• 30 days vacation + extra days for family sick leave
• Competitive salary & stock options for every team member
• Monthly sports & mental health support allowance with Oliva
• Annual learning & development budget
• Monthly team socials & in-person meetups
• Dog-friendly Berlin HQ

About us

Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose. From Haystack, our open-source framework, to the Haystack Enterprise Platform, we give developers and organizations the building blocks to solve complex, high impact challenges with AI with full control, transparency, and sovereignty. Backed by GV and Balderton, we’re growing the world’s production AI community and customer base solving challenges too critical to get wrong.

‍ Visit us to learn more: deepset Website | Haystack Website | GitHub | Linkedin | X deepset (Twitter) | X haystack (Twitter)

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation