DevOps Engineer (all genders)
At a glance
- Salary
- Not published
- Location
- Munich, BY, Germany
- Work type
- Hybrid
- Posted
- today
- Verified live
- today
- Experience
- 4+ years
- Skills
- KubernetesCI/CDAWSAzureGCP
- Filed under
- MLOps / Infra
How the pay compares
This posting doesn't publish pay. 518 of the 1258 MLOps / Infra roles worldwide on this board do: the middle half pay $167k–$249k, with a median of $212k. Too few roles in Germany publish pay for a local comparison, so this is every country together — mostly US pay.
Middle half of the 518 that publish payMedian10th–90th percentileAnnual, USD
Apply on company site (opens in new tab)
Job description
Join our Roland Berger AI Lab to design, automate, and operate secure cloud infrastructure for (Gen)AI applications. You will build CI/CD and IaC foundations, implement observability and incident response. Working closely with Architects and Backend teams, you will productionize agentic/LLM services, enable safe model fine-tuning pipelines, and uphold service readiness with SLOs, cost controls, and performance guardrails. Expect hands-on delivery in Azure, AWS and GCP, working from PoV to scaled rollout.
What you'll do
- Build and operate the cloud platform powering Roland Berger's AI and GenAI solutions
- Design secure, scalable, and automated cloud infrastructure with a focus on Azure
- Establish platform standards for automation, governance, security, reliability, and cost management
- Enable and operate AI workloads, including LLM applications, agentic systems, and machine learning services
- Drive observability, operational excellence, and enterprise-grade service reliability
- Collaborate with architects and engineers to turn innovative AI solutions into production-ready products
- Degree in Computer Science/Engineering, or equivalent experience
- 4+ years of work experience in DevOps/SRE on Azure, AWS or GCP
- Deep expertise in Microsoft Azure and familiarity with Google Cloud Platform
- Strong experience with cloud automation, CI/CD, GitOps, and Infrastructure as Code (e.g. Terraform)
- Proven track record operating Kubernetes, containers, networking, and secure production environments
- Experience with observability, reliability engineering, incident management, and cloud operations
- Familiarity with AI/ML, MLOps, LLMOps, or GenAI platforms and workloads
- Ability to drive technical initiatives, influence architecture decisions, and mentor engineers
- Excellent communication skills in English
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don't hesitate to contact me.