
Oliver Wyman – Platform / Infrastructure Engineer (m/f/d) – Quotient AI Specialist – London
Marsh1 month ago
London, United KingdomSenior
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 design to support scale across multiple solutions.
- Partner 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.
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 run internal platforms used by other engineers.
- Practical understanding of deployment, reliability, and scale across multiple solutions.
- Full professional English.
- Preferred: experience supporting data and AI workloads in production, familiarity with Polaris, experience in fast-moving environments, and experience shaping platform standards or reusable engineering patterns.
Benefits
- Meaningful work building technical foundations for AI-enabled delivery.
- Opportunities for ownership, learning, visibility, and professional growth within a newly created team.
- Collaborative, inclusive, and flexible work environment.
- Hybrid work arrangement with at least three days per week in the local office or onsite with clients, plus at least one weekly anchor day for office-based teams.