Before the detail, here's the challenge you'd help us solve.

We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

Here’s what this particular role covers.

🛠️ About our Engineering Teams

Our Cloud Infrastructure team builds, operates, and improves the shared cloud platforms that support Wayve’s engineering organisation. We work with engineering teams to create secure, reliable, and scalable infrastructure that meets application needs and supports scalable software delivery.

🧠 Your day-to-day

As a Platform Engineer, you’ll work across cloud foundations, Terraform, Kubernetes, developer environments, observability, and FinOps. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure and governance, security and FinOps tooling, automation, observability, and platform engineering.

Build and operate secure, scalable cloud environments with consistent governance and standards.

Develop Infrastructure-as-Code, automation, and self-service tooling that make infrastructure provisioning and change safe and repeatable.

Own the lifecycle and governance of Kubernetes clusters, continuously improving how they are provisioned, configured, upgraded, maintained, and recovered.

Operate and improve shared developer environments and observability platforms.

Work with engineering teams to ensure platforms meet application needs and support scalable software delivery.

Contribute to incident response, root cause analysis, and continuous improvement of infrastructure and operational practices.

🧩 What you’ll be working on

Cloud foundations: secure, reliable, and scalable shared infrastructure, with consistent governance and standards.

Terraform, Infrastructure-as-Code, and self-service tooling that help engineering teams provision and change infrastructure safely.

Kubernetes cluster lifecycle and governance, from provisioning and configuration through upgrades, maintenance, and recovery.

Shared developer environments and observability platforms that support engineering productivity and operational visibility.

Security and FinOps tooling, automation, and improvements to infrastructure reliability and operational practices.

🙌 You should apply if

Essential

Strong troubleshooting, problem-solving, and communication skills.

3 years of experience in DevOps, cloud infrastructure, Kubernetes administratorion, developer infrastructure, or related engineering roles.

Experience with one or more of the following:

At least one cloud platform, such as Azure, AWS, or GCP.

Infrastructure-as-Code tools, such as Terraform and Ansible.

Container technologies such as Docker or Podman

Linux environments, including distributions like Ubuntu.

Networking, cloud architecture, system reliability, and secure access controls.

Experience with Linux, Git, and shell scripting.

Desirable

Experience with multi-cloud governance, including neocloud environments.

Experience building self-service infrastructure tools, standard provisioning workflows, or reusable platform capabilities.

Experience operating observability platforms for metrics, logs, and traces, using tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.

Experience managing developer environments, such as Coder or comparable remote development platforms.

Experience implementing infrastructure security guardrails in partnership with security teams.

Experience improving platform reliability through incident response, recovery procedures, and reducing operational toil.

Experience with FinOps tools, improving cloud cost efficiency and operational resilience.

🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve

🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.