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Roland Berger

DevOps Engineer (all genders)

Roland Berger Munich, Bavaria, Germany

Business Consulting and Services · 1,001-5,000 employees

7 h ago
devops Mid (2-5 yrs) Full-time Germany
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About the role

You will design, automate, and operate secure cloud infrastructure to support AI and GenAI applications. The role involves collaborating with architects to productionize LLM services and ensuring operational excellence through observability and reliability standards.

What they look for

Azure AWS Google Cloud Platform Kubernetes Terraform CI/CD GitOps Infrastructure as Code Observability Incident Management MLOps LLMOps GenAI Cloud Operations Containerization Networking

Requirements

Candidates must have at least 4 years of experience in DevOps or SRE roles with expertise in Azure, AWS, or GCP. A degree in Computer Science or Engineering is required, along with strong skills in cloud automation, Kubernetes, and infrastructure as code.

Full description

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

Qualifications

  • 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

Additional Information

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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