Platform Engineer (SDO)

THE ROLE As a Platform Engineer, you will help build, operate, and improve the cloud platforms and infrastructure that support Wayve's software development and release systems. Working as part of a team, you’ll focus on maintaining reliable, scalable, and secure cloud environments, while improving the systems that enable efficient software development, testing, and deployment. This is a hands-on role with opportunities to deepen your expertise in cloud infrastructure, automation, and platform engineering. KEY RESPONSIBILITIES • Build, maintain, and improve cloud infrastructure (primarily Azure) to support development, testing, and production environments. • Contribute to Infrastructure-as-Code (IaC) implementations (e.g. Terraform, Ansible) to ensure consistent and repeatable infrastructure provisioning. • Support and improve CI/CD pipelines and deployment systems running in cloud environments. • Monitor, troubleshoot, and optimise cloud systems for performance, reliability, and cost efficiency. • Assist in managing containerised workloads and orchestration platforms (e.g. Docker, Kubernetes). • Implement and maintain observability tools (logging, metrics, alerting) to ensure system health and rapid incident response. • Work with engineering teams to ensure infrastructure meets application requirements and supports scalable software delivery. • Help improve security, access control, and compliance within cloud environments. • Participate in incident response and root cause analysis for infrastructure and deployment issues. • Continuously improve automation, reducing manual operations across infrastructure and deployment workflows. ABOUT YOU Essential: • 2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles. • Hands-on experience with at least one cloud platform (Azure, AWS, or GCP). • Experience with Infrastructure-as-Code tools (e.g. Terraform, Ansible). • Familiarity with CI/CD systems and cloud-based deployment pipelines. • Basic understanding of networking, cloud architecture, and system reliability. • Strong troubleshooting and problem-solving skills. Desirable: • Experience with containerisation and orchestration (Docker, Kubernetes). • Familiarity with monitoring and observability tools (e.g. Prometheus, Grafana, ELK). • Experience working with Linux systems and shell scripting. • Programming or scripting experience (e.g. Python, Bash, Go, or similar). • Understanding of security best practices in cloud environments. • Exposure to large-scale or distributed systems