Platform Engineer
Wayve is a London-headquartered embodied-AI company developing and licensing mapless, vehicle-agnostic driving software for assisted, automated, and robotaxi applications.
About Wayve
Wayve Technologies Ltd. develops the Wayve AI Driver, an end-to-end, data-trained software platform that runs on onboard vehicle compute and native sensors. It is designed for OEM integration across L1 driver assistance through L4 automated driving, without HD maps.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build, operate, and improve cloud infrastructure, CI/CD pipelines, and build systems for development, testing, production, deployment, and release. You will develop infrastructure as code, automation, and developer tooling. You will scale build agents, runners, artifact storage, and container workloads; implement observability; troubleshoot issues; and contribute to incident response and continuous improvement.
Requirements
- Troubleshooting
- Problem-solving
- Communication
- 5 years of DevOps cloud infrastructure CI/CD build engineering or developer infrastructure experience
- Azure AWS or GCP
- Terraform
- Ansible
- GitHub Actions GitLab CI Jenkins Buildkite or Azure DevOps
- Build tooling
- Dependency management
- Caching
- Incremental builds
- Reproducible builds
- Networking
- Cloud architecture
- System reliability
- Secure access controls
- Linux
- Git
- Shell scripting
Responsibilities
- Build, operate, and improve cloud infrastructure, CI/CD pipelines, and build systems
- Develop and maintain infrastructure as code, automation, and developer tooling
- Operate and scale build agents, runners, artifact storage, and containerised workloads
- Implement observability and monitor system health
- Troubleshoot infrastructure, pipeline, and deployment issues
- Work with engineering teams on platform requirements
- Contribute to incident response, root cause analysis, and continuous improvement
Benefits
- Hybrid working