Staff Storage Platform Engineer: Data, Security & Cloud

Wayve; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Wayve is seeking a Staff Software Engineer for Storage Platform in London. You’ll set the technical direction for petabyte-scale data storage, collaborating with Infrastructure, Security, Privacy, Data Engineering and ML teams to reduce infra costs and improve training efficiency.

You’ll lead end-to-end storage programs, build production services with Python/Go, and work across regions and clouds to ensure secure, scalable data access while mentoring engineers as the platform grows.

Qualifications

• Hands-on staff-level engineer with experience leading infrastructure programs across multiple teams.
• Experience owning petabyte-scale object storage end-to-end including data lifecycle and cost management.
• Strong security and access-management expertise (IAM/RBAC, encryption, auditing).
• Proficient in Python and Go; skilled with Kubernetes, Terraform, and CI/CD pipelines.

Responsibilities

• Lead a multi-quarter storage programme from problem definition to adoption.
• Build production services and platform components using Python/Go, Kubernetes and Terraform.
• Improve data access patterns, reduce storage bottlenecks and optimize GPU data throughput.
• Strengthen data security, access controls, auditing and safe deletion of vehicle-collected data.
• Write design docs, align teams around standards, and mentor engineers as the platform grows.
• Collaborate with ML and data teams to drive measurable platform outcomes.

Skills

Python

Go

Kubernetes

Terraform

Cloud platforms (AWS/GCP)

Security & IAM

Mentoring/leadership

Tools

CI/CD

Terraform

Job description

Wayve is seeking a Staff Software Engineer for Storage Platform in London. You’ll set the technical direction for petabyte-scale data storage, collaborating with Infrastructure, Security, Privacy, Data Engineering and ML teams to reduce infra costs and improve training efficiency.

You’ll lead end-to-end storage programs, build production services with Python/Go, and work across regions and clouds to ensure secure, scalable data access while mentoring engineers as the platform grows.