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
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