
Oliver Wyman – Platform / Infrastructure Engineer (m/f/d) – Quotient AI Specialist – Madrid
Marsh & McLennan Companies2 hours ago
Madrid, SpainSenior
Responsibilities
- Design, build, and maintain the team’s cloud infrastructure and deployment pipelines.
- Set up CI/CD, infrastructure-as-code, and disaster-recovery capabilities.
- Provide self-service infrastructure environments for other engineers.
- Advise on infrastructure designs that support scale, reliability, and repeatable deployment.
- Work with AI Engineers to ensure solutions can be deployed, monitored, and maintained effectively.
- Shape environment design, release management, operational resilience, platform standards, and reusable engineering patterns.
- Support a consistent engineering experience across multiple projects and promote infrastructure as a dependable internal product.
Requirements
- 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 operate internal platforms used by other engineers.
- Practical understanding of deployment, reliability, and scaling across multiple solutions.
- Full professional English proficiency.
- Preferred: experience supporting production data and AI workloads, familiarity with Polaris, experience in fast-moving environments with concurrent initiatives, and experience shaping platform standards or reusable engineering patterns.
Benefits
- Meaningful work building technical foundations for AI-enabled consulting delivery.
- Opportunities for ownership, leadership development, learning, visibility, and growth within a newly created team.
- Exposure to cloud engineering, platform thinking, AI-enabled consulting, and reusable infrastructure design.
- Collaborative, inclusive, and flexible work environment.
- Hybrid work arrangement with colleagues expected to be in their local office or onsite with clients at least three days per week.
- Interview process includes a screening conversation, a technical exercise, and two to three team-fit and craft interviews.