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DevOps Engineer (all genders)

Roland Berger • English • Management Consulting • High School Diploma • 1 month ago

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Salary

≈ $53k – $118k per year (Estimated)

Location

Hybrid (Munich, Germany)

Seniority

Middle · 4+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 17, 2026. Roland Berger scores B on the Alion truth index.

Overview

Company

Impact

Profile match

Roland Berger

Roland Berger is an international management consultancy headquartered in Munich, advising industrial and service companies and public institutions on strategy, operations, transformation, digital and performance improvement. Founded in Munich in 1967, it remains an independent partnership owned entirely by its partners, with around 3,500 employees in more than 50 offices worldwide and revenues above one billion euros in 2023. It hires consultants and project managers for automotive, industrial, operations, digital and ERP practices, business analysts, data scientists, software engineers, interns and finance and support staff.

rolandberger.com • HQ: Munich, Germany • Management Consulting • 1001-5000 employees • Est. 1967

Tech stack of Roland Berger

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

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.

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