Product Engineering Tech Lead

Stack

Responsibilities

• ▹Own the serverless execution platform so pipelines and agents run fast, reliably and concurrently at enterprise scale, behaving identically whether serverless or deployed as a service
• ▹Do the durability work (surviving node evictions, spot terminations, rolling deploys) that keeps long-running agents alive for hours
• ▹Own streaming and long-lived connections: backpressure, graceful shutdown and reconnects for end users and API clients
• ▹Lead the team and the architecture: set technical direction, make hard tradeoffs and translate product strategy into a system that holds under enterprise load
• ▹Stay hands-on on the problems that matter most
• ▹Make reliability provable: tracing, alerting, per-customer cost and usage visibility
• ▹Own on-call and incident response, closing the loop between build and operate

Requirements

• ▹Builder and founder mindset: you have started things, shipped them and lived with the consequences; startup or founder experience is a strong signal
• ▹Built and operated systems on Kubernetes in production, comfortable working from the ground up
• ▹Experience with durable, fault-tolerant execution: retries, failover, durable state, human in the loop
• ▹Serverless and function platforms at scale (Knative, KEDA, OpenFaaS, Fission or similar): scale to zero, warm pools, cold start tradeoffs, per-request isolation
• ▹Streaming and long-running workloads: server-sent events or websockets and keeping long-lived connections alive through deploys and node churn
• ▹Operator instinct: observability, alerting, service levels and incident response
• ▹Ability to lead a team and connect strategy to robust architecture
• ▹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
• ▹Agentic or AI workloads experience

Soft skills

What we offer

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

About the company

Founded in 2018, deepset builds open and enterprise-grade tools that help teams build AI with purpose, from the open-source framework Haystack to the Haystack Enterprise Platform. The company is backed by GV and Balderton.