DevOps Engineer (all genders)
At a glance
Mid-level DevOps & Release role at Roland Berger. Munich · full-time.
Pay not stated DevOps Engineer salary
devopsroles summary, based on the employer's posting.
What you'll do
- Build and run the cloud platform used by AI and GenAI solutions, with Azure as a key focus
- Set shared cloud rules for automation, governance, security, reliability and controlling costs
- Run AI workloads such as LLM apps, agentic systems and machine learning services
- Put observability and incident response in place to keep services reliable in production
- Work with architects and engineers to take AI solutions from proof of value into production
What you bring
- At least four years in DevOps or SRE work using Azure, AWS or GCP
- Strong Microsoft Azure skills, plus familiarity with Google Cloud Platform
- Hands-on experience with cloud automation, CI/CD, GitOps and infrastructure as code
- A record of operating Kubernetes, containers, networking and secure production environments
- A computer science or engineering degree, or equivalent experience
Who this fits
This mid-level role suits a hands-on DevOps or SRE engineer who can guide technical decisions and mentor engineers. The job is hybrid in Munich, with work spanning Azure, AWS and GCP.
From the employer
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.
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DevOps & Release
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