Oliver Wyman – Platform / Infrastructure Engineer (m/f/d) – Quotient AI Specialist – London

2 hours ago

London, United KingdomSenior

Responsibilities

Design, build, and maintain cloud infrastructure and deployment pipelines.
Set up CI/CD, infrastructure-as-code, and disaster-recovery capabilities.
Provide self-service infrastructure environments for internal engineers.
Advise on infrastructure design, scaling, environment design, release management, and operational resilience.
Work with AI Engineers to support effective deployment, monitoring, and maintenance of their work.
Establish reusable engineering patterns and a consistent engineering experience across projects.
Promote a platform-as-a-product mindset across the WAVE team.

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 scaling across multiple solutions.
Full professional English.
Preferred: experience supporting production data and AI workloads.
Preferred: familiarity with Polaris.
Preferred: experience in fast-moving environments with multiple concurrent initiatives.
Preferred: experience shaping platform standards or reusable engineering patterns.

Meaningful work building technical foundations for AI-enabled solutions.
Opportunities for ownership, leadership development, learning, visibility, and growth within a newly created team.
Exposure to cloud engineering, platform thinking, and AI-enabled consulting delivery.
Collaborative, inclusive, and flexible work environment.
Hybrid work with colleagues expected to be in the local office or onsite with clients at least three days per week; office-based teams identify at least one weekly anchor day.
Reasonable adjustments are available for candidates with disabilities.

501-1,000 employees