Additionalinformation

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.

Companydescription

Company Description

Jobdescription

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