DevOps Engineer (all genders)

Roland Berger; Lisboa; Presencial; EUR 70 000 - 100 000; Tempo integral

Resumo da oferta

Roland Berger seeks a DevOps/SRE professional to design, build, and operate the cloud platform powering our AI and GenAI initiatives. You will implement secure, scalable infrastructure on Azure with automation standards for governance, security, reliability, and cost control.

You will enable AI workloads and productionize ML services while focusing on observability and incident response. Collaboration with architects and backend teams is essential for production-ready solutions.

Qualificações

• 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.

Responsabilidades

• 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.

Conhecimentos

DevOps

SRE

Kubernetes

CI/CD

GitOps

MLOps

Observability

AI/GenAI familiarity

Mentoring engineers

Formação académica

Degree in Computer Science/Engineering

Ferramentas

Azure

AWS

GCP

Terraform

Descrição da oferta de emprego

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