Reliability & Observability Engineer; m​/f​/d

Our crawlers collect regulatory updates from 80+ sources and push them through an automated pipeline: extraction, embedding, search, classification, consolidation and translation. As we add regions, keeping it healthy has become a job of its own. We want an engineer who makes production tell us what's wrong before customers do, fixes what can be fixed automatically, and builds AI agents that diagnose the rest.

When an issue does reach a developer, it should arrive with a root cause and a suggested fix. Not a ticket-driven ops role: you'll write production Python from week one and own platform reliability alongside a core-team developer

• Cut the noise. Separate transient failures (network blips, timeouts, errors that vanish on rerun) from real ones, and build alerting the team trusts.
• Build agentic incident response: agents that gather Sentry issues, logs, metrics and recent deploys, classify the failure, apply known fixes or open draft PRs, and brief the right
  developer.
• Monitor the data, not just the infrastructure. A job that succeeds but extracts nothing is still a failure. Track freshness and completeness, e.g. "every source checked on time", "every
  document produced text and embeddings".
• Make the pipeline self-healing: retries with backoff, idempotent and resumable jobs, dead letter handling, clear escalation when automation gives up.
• Keep agents safe: scoped permissions, audit trails, human approval for risky actions, and
  measuring how often they're right.
• Continuously audit our Infrastructure and Identify opportunities to make it more efficient and save costs.
• Catch memory, timeout and cost problems across Cloud Run before they become silent
  OOM kills.
• Add structured logging, metrics, tracing and sensible Sentry grouping, with infrastructure as code and CI/CD.

Python, Docker, GCP (Cloud Run, Cloud Logging, Cloud Monitoring), Sentry, MongoDB, Azure Blob, LLM APIs. Some Go and React.

• 5+ years in software engineering, SRE or platform roles, with real production Python.
• A track record of turning an ignored alert channel into one people act on.
• Hands-on experience building with LLMs or agents in production, and judgment about when
  a plain if-statement is better.
• Solid GCP (or similar), containers and CI/CD.
• Strong grasp of distributed-system failure modes: retries, idempotency, partial failure,
  back pressure.
• Pragmatism, and clear communication in a small team.

Open Telemetry, SLOs, Terraform or Pulumi, data-quality observability, crawling or document processing.

• Hybrid work culture:join us in our Munich office (min. 2 days/week).
• Flexible
  working hours.
• 26+4 vacation days
  per year (4 fixed “company rest days” over Christmas).
• 30 days of “workation”per year, within the EU and selected countries.
• High autonomy
  and flat hierarchies.
• EGYM Wellpass
  for unlimited access to fitness courses and gyms.
• Udemy
  access for educational videos.

We welcome candidates from all backgrounds and encourage diversity in our team. We encourage female and diverse engineers to apply and join our mission-driven culture that values open communication, work-life balance, and a welcoming environment. Convince us with your personality and your skills, and together we will make great things happen!