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Platform Engineer (SDO)

Sunnyvale, California USA

AI Platform

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