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
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

Employment type
Full-time

Work arrangement
No