> Markdown version of [/jobs/ext/1941788-infrastructure-engineer-platform-engineering](https://www.wearedevelopers.com/jobs/ext/1941788-infrastructure-engineer-platform-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Infrastructure Engineer (Platform engineering) - **Company:** Oliver Wyman - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Infrastructure as a Service (IaaS), Release Management, Cloud Platform System, Delivery Pipeline, Kubernetes - **Published:** August 5, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 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. Preferred qualifications + Experience supporting data and AI workloads in production. + Familiarity with Polaris + Experience working in a fast-moving environment with multiple concurrent initiatives. + Experience shaping platform standards or reusable engineering patterns. ## Description WAVE is a newly created team within Quotient. It exists to accelerate AI-enabled business development and help our teams move faster, think differently, and build with reuse in mind. As Platform / Infrastructure Engineer, you will own the foundations that make WAVE work. You will design and maintain the infrastructure that allows a small, fast-moving team to prototype quickly, deploy reliably, and scale with confidence. This is a hands-on role for someone who enjoys building dependable engineering foundations and creating self-serve platforms that help others move faster. What you will do You will create the infrastructure that lets WAVE move from idea to deployment with speed, consistency, and control. You will: + 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. + Help WAVE make practical choices about environment design, release management, and operational resilience. + Support a consistent engineering experience across projects, so the team can build once and reuse where possible. + Contribute to a platform mindset across WAVE, where infrastructure is treated as a product the team can rely on. How you will be measured Our success is simple to state: the team should be able to move fast without losing reliability. You'll know you are succeeding when engineers can self-serve the environments they need, when deployments are smooth and repeatable, and when the infrastructure consistently supports a growing pipeline of reusable AI work. 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