DevOps Engineer (all genders)

Roland Berger GmbH; Deutschland; Remote; EUR 90,000 - 130,000; Full time

Job summary

Roland Berger GmbH is seeking an experienced DevOps/SRE to design and operate a secure, scalable cloud platform powering AI and GenAI solutions. You will focus on Azure, automate infrastructure, and drive reliability and cost governance.

You will collaborate with Architects and Backend teams to productionize AI workloads, establish standards, and mentor engineers while ensuring strong observability and incident management.

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.

Responsibilities

• 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.

Skills

DevOps

SRE

Cloud architecture

Leadership

Mentoring

Education

Degree in Computer Science/Engineering

Tools

Terraform

Kubernetes

CI/CD

GitOps

Azure

AWS

GCP

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

Additional Information

Are you a game changer and want to shape the future with us?

Roland Berger is the only leading global strategy consultancy of European origin and combines deep industry expertise with broad experience across core management functions and transformation programs. We cherish different perspectives and approaches and count on the diversity and authenticity of our employees. Thus, we encourage applications from people of all genders, nationalities, ethnic and social backgrounds, ages, abilities, sexual orientations, and religious beliefs. Driven by our values of entrepreneurship, excellence, and empathy, we at Roland Berger are convinced that business and society need a new sustainable paradigm that takes the entire value cycle into account. Our cross-competence teams work with our clients to successfully address the challenges of our time, today and tomorrow, across all industries and business functions. If you like to take the initiative and make a difference as part of a team, Roland Berger is the right place for you.

Data protection
Protecting your personal data and complying with relevant data protection legislation is something we take very seriously. Before applying, please consult our Privacy Policy for the Applicant Management Process at Roland Berger Group for detailed information on how we process your application and personal data as well as your rights under the relevant data protection legislation.

Technical support
In case of any technical issues or problems submitting your application please contact: Lara Zolnai ([phone]) or Rosa Gerhardt ([phone]).