DevOps Engineer (all genders)

Roland Berger GmbH; Bayern; Vor Ort; EUR 90.000 - 120.000; Vollzeit

Zusammenfassung

Roland Berger GmbH in Germany seeks an experienced DevOps/SRE professional to design, automate, and operate secure cloud infrastructure for GenAI workloads. You will build CI/CD foundations, observability, and cost controls to ensure production readiness.

Work across Azure, AWS and GCP, implementing Terraform and Kubernetes to run scalable AI platforms. Collaboration with Architects and Backend teams is essential to translate innovative AI solutions into production-ready services.

Qualifikationen

• Degree in Computer Science/Engineering or equivalent experience.
• 4+ years of DevOps/SRE on Azure, AWS or GCP.
• Experience with cloud automation and IaC (e.g. Terraform).
• Strong experience with Kubernetes, containers, networking, and secure production environments.
• Familiarity with AI/ML, MLOps, LLMOps, or GenAI platforms and workloads.
• Excellent communication skills in English.

Aufgaben

• 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.

Kenntnisse

DevOps

SRE

English communication

Ausbildung

Degree in Computer Science/Engineering

Tools

Azure

AWS

GCP

Terraform

Kubernetes

CI/CD

GitOps

Jobbeschreibung

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