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# Platform Engineer / DevOps | AI GovTech Startup | Munich

- **Company:** Ayunis
- **Location:** München, Germany
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Artificial Intelligence, Backup Devices, Databases, DevOps, Middleware, Github, Key Management, PostgreSQL, Linux Servers, Redis, TypeScript, Data Logging, ReactJS, Large Language Models, Backend, Deployment Automation, Sentry, Front End Software Development, NestJS, Docker
- **Published:** August 26, 2026
- **Apply:** https://www.careerjet.de/jobad/deef89fb825b08fe7b08f3581344fea667

## About the Role

* You're a software engineer at heart who gravitated toward infrastructure - comfortable opening a TypeScript codebase and adding a metrics middleware, not just writing pipelines around it
 * You have experience running production systems end-to-end: deployment, monitoring, incidents, backups, and the 3 a.m. question of "how would we recover?"
 * You're security-minded by default: secrets handling, least privilege, and encryption are instincts, not checklist items
 * You're familiar with compliance-driven environments (ISO 27001, SOC 2, or GDPR technical measures) - or genuinely interested in making auditors happy without making developers miserable
 * You're opinionated about alerting quality: you've felt alert fatigue and know how to design for signal
 * You're pragmatic about scope: we're a small team, so you prioritize ruthlessly and communicate what's deferred

## Description

* You run our production services (NestJS backend, React frontend, PostgreSQL, Redis, MinIO, LLM provider integrations) and own uptime, backups and restore drills, capacity, and incident response
 * You build an automated deployment pipeline the team loves: fast, safe, boring releases with rollbacks, migration safety, and staging environments - if deploying is scary or slow, that's a bug you own
 * You introduce and drive patterns for structured logging, metrics, and tracing - in the infrastructure and in the product code - including precise alerting when LLM responses are slow, erroring, or degrading, per provider and per model
 * You develop and own a proper secrets management setup (Vault or comparable): encrypted at rest, access-controlled, rotatable, auditable
 * You implement the technical controls behind our ISO 27001 and GDPR obligations: encryption of databases and backups, key management, access logging, retention
 * You shape our tooling choices: today we run Docker / Docker Compose on dedicated Linux servers (Hetzner) with GitHub Actions and Sentry - where it goes next is largely up to you, and we prefer boring, proven technology over resume-driven engineering


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