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.
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.
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
Job details are sourced from the employer's original posting.
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Wayve is building the next generation of autonomous driving technology. They are developing an end-to-end autonomous driving system that uses deep learning and AI to enable vehicles to navigate roads and environments.