DevOps Engineer (all genders)

Roland Berger

München

Vor Ort

EUR 90.000 - 140.000

Vollzeit

Vor 12 Tagen
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Zusammenfassung

Roland Berger's AI Lab is seeking a seasoned DevOps/SRE to design, automate, and operate secure cloud infrastructure for GenAI apps. You will build CI/CD and IaC foundations, enable observability, and ensure reliable, cost-aware operations across Azure, AWS, and GCP.

Working with architects and backend teams, you productionize LLM services, manage production readiness with SLOs, and drive secure, scalable platforms while mentoring engineers and maintaining strong English communication.

Qualifikationen

  • 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

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
Azure expert
CI/CD
GitOps
IaC (Terraform)
Kubernetes
Observability
Incident management
MLOps familiarity
GenAI familiarity
Architecture influence
English communication

Ausbildung

Degree in Computer Science/Engineering

Tools

Terraform
GitHub Actions
Azure DevOps
Kubernetes tooling

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
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

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