Platform Engineer, Cloud Infrastructure
Full-time
Wayve
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 Platform Engineering Teams Our Platform Engineering team builds and operates the cloud infrastructure, automation, and deployment systems that power Wayve’s software development. Working primarily with Azure, the team creates reliable, scalable, and secure platforms that help engineers develop, test, and release software efficiently. You’ll collaborate with teams across Wayve that are advancing embodied AI and autonomous driving. Your day-to-day You’ll build, maintain, and improve cloud infrastructure across development, testing, and production environments. You’ll automate infrastructure provisioning, support CI/CD pipelines, monitor platform performance, and troubleshoot issues affecting reliability or delivery. You’ll also work closely with engineering teams to understand their needs and continuously improve the developer experience. What You’ll Be Working On
- Cloud infrastructure and services, primarily within Azure
- Infrastructure as Code using tools such as Terraform and Ansible
- Cloud-based CI/CD pipelines and deployment systems
- Containerised workloads and orchestration platforms
- Monitoring, observability, security, and cost optimisation
- Incident response, root-cause analysis, and operational automation
- You have 2–5 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role
- You have hands-on experience with Azure, AWS, or GCP
- You’ve worked with Infrastructure as Code tools such as Terraform or Ansible
- You’re familiar with CI/CD systems and cloud-based deployment pipelines
- You understand networking, cloud architecture, and system reliability fundamentals
- You’re a collaborative problem-solver who enjoys troubleshooting complex systems and reducing manual work through automation
- Initial call / recruiter screen (30 minutes) — motivation, communication, relevant DevOps and CI/CD experience, Wayve fit, and logistics.
- Competency interview (45 minutes) — hiring manager discussion covering role fit, technical breadth, problem-solving, ownership, and collaboration.
- Deep-dive technical interviews (approximately 3 hours total) — programming, system design, and an SDO domain interview covering build systems, CI/CD infrastructure, automation, Linux, Git, scripting, distributed execution, caching, and artifact management.
- Final interview (60 minutes) — conversation with a director focused on Wayve’s mission and values, operating style, stakeholder communication, and long-term potential.We’ll always explain the format and work around your availability.
Vacancy posted 2 days ago
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