DevOps Engineer (all genders)

Roland Berger GmbH

München, Germany

15 days ago

Apply on www.careerjet.de

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Role details

Contract type

Internship / Graduate position

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Languages

English

Job source

www.careerjet.de

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Database Continuous Integration DevOps Machine Learning Reliability Engineering Google Cloud Cloud Platform System Large Language Models

+8 more

Multi-Agent Systems Backend Git Flow Kubernetes Infrastructure Automation Frameworks Information Technology Machine Learning Operations Terraform

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

Requirements

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. By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website’s terms and privacy policy apply