Roland Berger

DevOps Engineer (all genders)

Roland Berger
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12 hours ago
Lisbon, PortugalMid Level

Responsibilities

  • Build and operate the cloud platform powering Roland Berger’s AI and GenAI solutions.
  • Design secure, scalable, automated cloud infrastructure, primarily on Azure.
  • Establish standards for automation, governance, security, reliability, and cost management.
  • Enable and operate LLM applications, agentic systems, and machine learning services.
  • Drive observability, operational excellence, incident response, and service reliability.
  • Collaborate with architects and engineers to productionize AI solutions and support scaled rollouts.
  • Drive technical initiatives, influence architecture decisions, and mentor engineers.

Requirements

  • Degree in Computer Science or Engineering, or equivalent experience.
  • At least 4 years of work experience in DevOps or 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 such as Terraform.
  • Proven experience 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.
Roland Berger

About Roland Berger

1,001-5,000 employees

Roland Berger is a global strategy and management consultancy that advises corporate and public‑sector clients on transformation, performance improvement, and growth. The partnership, founded in 1967 and headquartered in Munich, sells fee-based consulting services across strategy, operations, restructuring, corporate finance, and data/AI topics. It operates worldwide and includes specialist units such as Polarixpartner for manufacturing cost and engineering challenges.

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