Platform Engineer: Cloud Infra & Self-Serve Pipelines

Oliver Wyman; Madrid; Híbrido; EUR 90.000 - 130.000; Jornada completa

Descripción de la vacante

Oliver Wyman is seeking a Platform / Infrastructure Engineer to own the foundations that power the WAVE team. You will design, build, and maintain cloud infrastructure and deployment pipelines, enabling rapid prototyping, reliable deployments, and scalable platforms for AI-enabled work.

You will collaborate with AI Engineers and the Quotient team to ensure deployments are monitored, maintained, and designed for speed, reuse, and resilience, in a hybrid work setting across the organization.

Formación

• Strong hands-on experience with Kubernetes and a major cloud platform, ideally Azure and/or AWS.
• Solid experience with CI/CD and infrastructure-as-code.
• Experience designing and supporting disaster-recovery capabilities.
• Ability to build and run internal platforms that other engineers depend on.
• Practical understanding of how to support deployment, reliability, and scale across multiple solutions.
• Full professional English.

Responsabilidades

• Design, build, and maintain the team’s cloud infrastructure and deployment pipelines.
• Set up CI/CD, infrastructure-as-code, and disaster-recovery capabilities so solutions can move from prototype to deployment quickly and repeatably.
• Provide infrastructure as a service to the rest of the team through self-serve environments that do not bottleneck on you.
• Advise on the right infrastructure setup for each solution, including what is needed to support scale.
• Work closely with the AI Engineers to ensure their work can be deployed, monitored, and maintained effectively.

Conocimientos

Full professional English

Cloud engineering

Platform reliability

Technical judgement

Herramientas

Kubernetes

Azure

AWS

CI/CD

Infrastructure as Code

Disaster recovery

Descripción del empleo

Oliver Wyman is seeking a Platform / Infrastructure Engineer to own the foundations that power the WAVE team. You will design, build, and maintain cloud infrastructure and deployment pipelines, enabling rapid prototyping, reliable deployments, and scalable platforms for AI-enabled work.

You will collaborate with AI Engineers and the Quotient team to ensure deployments are monitored, maintained, and designed for speed, reuse, and resilience, in a hybrid work setting across the organization.