Reliability & Observability Engineer (m/f/d)

München - HQ

Full-time

Permanent employee

75,000 - 90,000 € pro Jahr

About the Job

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.

What you will do

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" and "every document produced text and embeddings".
Make the pipeline self-healing: retries with backoff, idempotent and resumable jobs, dead-letter handling and clear escalation when automation gives up.
Keep agents safe: scoped permissions, audit trails, human approval for risky actions and tracking of how often they're right.
Continuously audit our infrastructure to find ways to make it more efficient and reduce costs.
Catch memory, timeout and cost problems across Cloud Run before they become silent OOM kills or surprise bills.
Add structured logging, metrics, tracing and sensible Sentry grouping, with infrastructure as code and CI/CD.

Our Tech Stack

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

Your profile

5+ years in software engineering, SRE or platform roles, with real production Python experience.
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 the judgment to know when a plain if-statement is better.
Solid experience with GCP (or similar), containers and CI/CD.
A strong grasp of distributed-system failure modes: retries, idempotency, partial failure and backpressure.
Pragmatism and clear communication in a small team.

Why us?

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 online courses

Closing

We welcome candidates from all backgrounds and value diversity in our team. We especially encourage women and non-binary engineers to apply and join our mission-driven culture, which values open communication, work-life balance and a welcoming environment. Convince us with your personality and your skills, and together we'll make great things happen!

Über uns

Certivity ist ein Münchner RegTech-Startup, das mit KI globale regulatorische Komplexität in klare, strukturierte und umsetzbare Compliance-Intelligence umwandelt. Unsere SaaS-Plattform sammelt und analysiert weltweit automatisch Regulierungsdaten – Engineering- und Compliance-Teams arbeiten dadurch schneller und sicherer.

Unser internationales Team aus über 80 Expertinnen unterstützt mehr als 1.500 Nutzerinnen in 10 Ländern. Wir sind in der Automobilbranche fest etabliert und expandieren nun in neue, regulierungsintensive Branchen.

Bei Certivity spielst du eine Schlüsselrolle bei dieser Expansion: Du hilfst neuen Kunden, den Mehrwert unserer Technologie zu erkennen, und gestaltest direkt unser Wachstum auf neuen Märkten.