20 beste Stellen als ai platform engineer (f/m/d) in münchen, by – aktuell auf Personalsuche

Platform Engineer / DevOps (m/f/d) | AI GovTech Startup | Munich
Ayunis —München
- Hybrides Arbeiten
- Master
- Künstliche Intelligenz
Direkt bewerben
11 Tage
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SanaExpert GmbH —München
- Vollzeit
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- CRM-Software
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Natuvion GmbH —München
- Vollzeit
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- Informatik
- Künstliche Intelligenz
- Python
Direkt bewerben
Backend Engineer (Infrastructure & Platform) (f/m/d)
Zeit AI (YC S24) —München
- 95.000 € – 270.000 € pro Jahr
- Vollzeit
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14 Tage
Platform Engineer (Cloud Infrastructure, AI Platform) (m/f/d)
Allianz —München
- Vollzeit
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KI group GmbH —München
- Vollzeit
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- Azure
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Manex AI GmbH —München
- Vollzeit
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Dassault Systèmes —München
- C++
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RobCo —München
- Vollzeit
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- Homeoffice-Möglichkeit
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AI Software Engineer - Internship (f/m/d)
Manex AI GmbH —München
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Robotics Mechatronics Engineer (m/f/d)
autonomous-teaming —München
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20 Std.
AI and Automation Specialist (f/m/d)
Munich Electrification —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
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- Homeoffice-Möglichkeit
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IT Systems und Security Engineer (m/f/d)
autonomous-teaming —München
- Vollzeit
- Azure
- Windows
- AWS
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(Senior) AI Engineer / MLOps Engineer (m/f/d)
VESTIGAS GmbH —München
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Senior Process Intelligence Analyst & Engineer (m/f/d)
SIXT Germany —München
- Vollzeit
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Full Stack Platform Engineer (m/f/d)
Nomadic GmbH —München
- 60.000 € – 80.000 € pro Jahr
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(Senior) Technical Product Owner - AI Platform (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Kundenberatung
- Englisch
- Master
- Flexible Arbeitszeiten
Direkt bewerben

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ai platform engineer (f/m/d) jobs near münchen, by

Platform Engineer / DevOps (m/f/d) | AI GovTech Startup | Munich

Ayunis
München

Direkt bewerben

Details zur Stelle

vor 11 Tagen

Leistungen

Firmenevents
Kostenfreies oder vergünstigtes Deutschland-Ticket

Qualifikationen

React
Master
Docker
PostgreSQL
Redis
GitHub
Künstliche Intelligenz
TypeScript

Vollständige Stellenbeschreibung

Ayunis is a leading GovTech startup from Munich. Over 800 cities and municipalities across the DACH region already work with our software — with Ayunis, we're bringing AI to the public sector: secure, compliant, and actually useful.

Tasks

You will own how Ayunis runs in production — not just keeping services up, but the whole package around them: how code gets deployed, how secrets are handled, how we observe our systems, how we get alerted when things go wrong or get slow, and how we prove to customers and auditors that their data is safe. This is a builder role, not a maintenance role: you'll inherit a working but early setup, take it to the next maturity level, and push good operational patterns into the product code itself, working alongside our backend engineers.

Your Responsibilities

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

Requirements

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

Benefits

Regular team events
Free yoga/breathwork sessions and a Wellpass subscription
Deutschland-Ticket to keep you mobile
Room to grow in a 30+ person startup with a 2.000€ development budget
New Munich office with kitchen, lounge, and 50-meter outdoor pool
Latest tech equipment
Real responsibility from day one — the platform is yours
Flat hierarchies and fast decisions
️ Meaningful work: modernizing public administration with AI

Sounds like you? We'd love to hear from you!

Direkt bewerben

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Ich möchte aktuelle Job-E-Mails für Stellen als ai platform engineer (f/m/d) in münchen, by erhalten

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