5 days ago
London, United KingdomMid Level / Senior
Responsibilities
- Build, maintain, and improve primarily Azure-based cloud infrastructure for development, testing, and production environments.
- Implement Infrastructure-as-Code using tools such as Terraform and Ansible.
- Support and improve CI/CD pipelines and cloud-based deployment systems.
- Monitor, troubleshoot, and optimize cloud systems for performance, reliability, and cost efficiency.
- Manage containerized workloads and orchestration platforms such as Docker and Kubernetes.
- Maintain observability through logging, metrics, and alerting tools.
- Partner with engineering teams to ensure infrastructure supports application requirements and scalable software delivery.
- Improve cloud security, access control, compliance, automation, and incident-response processes.
Requirements
- Require 2–5 years of experience in DevOps, cloud infrastructure, or related engineering roles.
- Require hands-on experience with at least one cloud platform: Azure, AWS, or GCP.
- Require experience with Infrastructure-as-Code tools such as Terraform or Ansible.
- Require familiarity with CI/CD systems and cloud-based deployment pipelines.
- Require a basic understanding of networking, cloud architecture, and system reliability.
- Desire experience with Docker, Kubernetes, monitoring and observability tools, Linux systems, shell scripting, programming or scripting in Python, Bash, or Go, cloud security practices, and large-scale or distributed systems.
- Strong troubleshooting and problem-solving skills are required.
Benefits
- The role is hands-on and provides opportunities to deepen expertise in cloud infrastructure, automation, and platform engineering.
- Wayve supports an inclusive interview experience and will provide accommodations or adjustments upon request.
- The company promotes a diverse, fair, respectful, and inclusive workplace culture.
Tech Stack
Categories
About Wayve
Wayve builds end-to-end autonomous driving software—the vehicle-agnostic Wayve AI Driver—that runs on onboard compute and native sensors, licensed to automakers and fleet operators. Its platform spans ADAS and higher autonomy (L2+/L3 to robotaxi) and is designed to generalize across vehicle types and geographies. Founded in 2017 and headquartered in London, it tests its models across Europe, North America, and Japan, with a U.S. base in Sunnyvale, CA.