AI Platform Engineer — Cloud Infra & CI/CD

Oliver Wyman; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Job summary

Oliver Wyman is seeking a Platform / Infrastructure Engineer for the WAVE team within Quotient. You will own the foundations enabling rapid prototyping, reliable deployment, and scalable infrastructure for a small, fast-moving team.

In this hands-on role, you will design and maintain cloud infrastructure, implement CI/CD, and provide self-serve environments to empower engineers. You will collaborate with AI Engineers and others to ensure deployments are dependable and scalable.

Qualifications

• Kubernetes and a major cloud platform (Azure and/or AWS) are required.
• CI/CD and infrastructure-as-code experience is essential.
• Experience designing/supporting disaster-recovery capabilities.
• Ability to build and run internal platforms dependencies for engineers.
• Strong professional English communication.

Responsibilities

• Design, build, and maintain the team’s cloud infrastructure and deployment pipelines.
• Set up CI/CD, infrastructure-as-code, and disaster-recovery capabilities for rapid deployment.
• Provide infrastructure as a service through self-serve environments for the team.
• Advise on infrastructure setups to support scale across solutions.
• Collaborate with AI Engineers to ensure deployment, monitoring, and maintenance of work.
• Guide environment design, release management, and operational resilience.

Skills

Kubernetes

Azure

AWS

CI/CD

Infrastructure as code

Disaster recovery

Internal platforms

English

Tools

Polaris

Job description

Oliver Wyman is seeking a Platform / Infrastructure Engineer for the WAVE team within Quotient. You will own the foundations enabling rapid prototyping, reliable deployment, and scalable infrastructure for a small, fast-moving team.

In this hands-on role, you will design and maintain cloud infrastructure, implement CI/CD, and provide self-serve environments to empower engineers. You will collaborate with AI Engineers and others to ensure deployments are dependable and scalable.