Platform Engineer (SDO)

About us

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems.

Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.

In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.

At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

Make Wayve the experience that defines your career!

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 workl

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.

• 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

Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know.

We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.

For more information visit Careers at Wayve.

To learn more about what drives us, visit Values at Wayve

For US candidates only, please visit E-Verify Notice and Participation and Right to Work

DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.