Platform Engineer, Cloud Infrastructure

Wayve; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Salaries benchmarked against the市场

Equity stake and sharing in long-term

Relocation support & visa sponsorship

Hybrid working & core hours

Learning & development budgets

Job summary

Wayve builds the embodied AI platform for autonomous driving, delivering cloud infrastructure that powers software development and deployment. You’ll work across Azure-based services, automation, and deployment systems to enable reliable and scalable platforms for engineering teams.

You will design and maintain cloud infrastructure, implement IaC, optimize CI/CD pipelines, and collaborate with teams to improve developer experience while balancing cost, security, and performance in a hybrid work

Qualifications

• 2–5 years of DevOps or platform engineering experience.
• Hands-on with Azure, AWS or GCP.
• Experience with Infrastructure as Code tools such as Terraform or Ansible.
• Familiar with CI/CD pipelines and cloud deployments.
• Strong networking and reliability fundamentals.

Responsibilities

• Build, maintain, and improve cloud infrastructure across development, testing, and production environments.
• Automate infrastructure provisioning and support CI/CD pipelines.
• Monitor platform performance and troubleshoot reliability issues.
• Collaborate with engineering teams to improve developer experience.
• Champion cost optimisation and security.

Skills

Cloud infra

CI/CD automation

Monitoring & observability

Linux scripting

Tools

Terraform

Ansible

Azure

AWS

GCP

Job description

Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.

About our Platform Engineering Teams

Our Platform Engineering team builds and operates the cloud infrastructure, automation, and deployment systems that power Wayve’s software development. Working primarily with Azure, the team creates reliable, scalable, and secure platforms that help engineers develop, test, and release software efficiently. You’ll collaborate with teams across Wayve that are advancing embodied AI and autonomous driving.

Your day-to-day

You’ll build, maintain, and improve cloud infrastructure across development, testing, and production environments. You’ll automate infrastructure provisioning, support CI/CD pipelines, monitor platform performance, and troubleshoot issues affecting reliability or delivery. You’ll also work closely with engineering teams to understand their needs and continuously improve the developer experience.

What you’ll be working on

• Cloud infrastructure and services, primarily within Azure
• Infrastructure as Code using tools such as Terraform and Ansible
• Cloud-based CI/CD pipelines and deployment systems
• Containerised workloads and orchestration platforms
• Monitoring, observability, security, and cost optimisation
• Incident response, root-cause analysis, and operational automation

You should apply if

• You have 2–5 years of experience in DevOps, cloud infrastructure, platform engineering, or a related role
• You have hands-on experience with Azure, AWS, or GCP
• You’ve worked with Infrastructure as Code tools such as Terraform or Ansible
• You’re familiar with CI/CD systems and cloud-based deployment pipelines
• You understand networking, cloud architecture, and system reliability fundamentals
• You’re a collaborative problem-solver who enjoys troubleshooting complex systems and reducing manual work through automation
• Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.

More about Wayve

Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.

How we work

Locations & Flexible Working:

Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.

The Interview Process

• Initial call / recruiter screen (30 minutes) — motivation, communication, relevant DevOps and CI/CD experience, Wayve fit, and logistics.
• Competency interview (45 minutes) — hiring manager discussion covering role fit, technical breadth, problem-solving, ownership, and collaboration.
• Deep-dive technical interviews (approximately 3 hours total) — programming, system design, and an SDO domain interview covering build systems, CI/CD infrastructure, automation, Linux, Git, scripting, distributed execution, caching, and artifact management.
• Final interview (60 minutes) — conversation with a director focused on Wayve’s mission and values, operating style, stakeholder communication, and long-term potential. We’ll always explain the format and work around your availability.

What’s in it for you (Location dependant)

• Salaries benchmarked against the market annually
• Meaningful equity, sharing in the ownership and long term success of Wayve
• Relocation support and visa sponsorship where applicable
• Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs
• Learning and development budgets with support for training, conferences and growth
• Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more

A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem yo