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

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