DevOps Engineer (all genders)

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