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# DevOps Platform Engineer Munich

- **Company:** Prodig Gmbh
- **Location:** München, Germany
- **Salary:** €65,000.0 - €75,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Cloud Engineering, Continuous Integration, Linux, DevOps, Distributed Systems, Machine Learning, Reliability Engineering, Ansible, Prometheus, Software Deployment, Software Engineering, Data Logging, System Availability, Grafana, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Machine Learning Operations, Terraform
- **Published:** July 2, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=89aad577079094cb

## About the Role

* Y Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a comparable qualification.
 * Experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, DevOps, or MLOps within complex IT environments.
 * Strong expertise in operating production Kubernetes platforms across AWS and on-premises infrastructures.
 * Tech Stack: Kubernetes, AWS, Linux, GitOps, CI/CD, Terraform, Ansible, Helm, ArgoCD and/or Flux, Grafana, Prometheus, Infrastructure as Code; experience with MLOps platforms is advantageous.
 * Solid understanding of cloud-native architectures, distributed systems, networking, and platform automation.
 * Knowledge of the German BSI IT-Grundschutz framework is considered an advantage.
 * Professional proficiency in English and German (C1 or higher).
 * Employment is subject to the successful completion of a security screening in accordance with applicable national security regulations; eligibility depends on the relevant legal requirements, including nationality-related restrictions where applicable., Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.

## Description

* Support the production deployment and operation of Kubernetes-based platforms across AWS and on-premises environments.
 * Design, implement, and continuously improve scalable, highly available cloud-native infrastructure.
 * Automate infrastructure provisioning, deployments, and operational workflows using GitOps, CI/CD, and Infrastructure as Code.
 * Develop and maintain monitoring, logging, and observability solutions to ensure platform reliability and performance.
 * Support the operation and optimization of MLOps platforms for production machine learning workloads.
 * Collaborate closely with software development and security teams to implement secure, resilient platform architectures.
 * Analyze, troubleshoot, and resolve complex infrastructure and platform issues while driving continuous improvements.
 * Contribute to the implementation of security, compliance, and operational best practices across the platform landscape.


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