Staff Software Engineer, Storage Platform

Overview

As Staff Software Engineer, Storage Platform you will steer the end-to-end storage platform that underpins Wayve’s embodied AI. You will define architecture, drive multi-team adoption, and build production data services that reduce storage costs while boosting data throughput. You’ll collaborate with ML, data, security, and infra teams to ensure secure, scalable access to petabyte-scale datasets. This role offers hands-on building, architecture leadership, and a chance to shape data governance at scale.

Pay / Benefits

• salaries benchmarked against market
• equity/ownership
• relocation support and visa where applicable
• hybrid working with core hours
• learning and development budgets
• comprehensive benefits: health, dental, parental leave, retirement, wellbeing

Responsibilities

• Lead a multi-quarter storage programme from problem definition to platform adoption
• Build production services, controllers, and infrastructure using Python or Go, Kubernetes, and Terraform
• Partner with ML and data teams to optimize access patterns and reduce GPU wait times
• Collaborate with Security and Privacy to strengthen access controls, auditing, and safe deletion
• Write design docs and RFCs, align teams around standards, and mentor engineers

Key requirements

• Staff Engineer level experience with complex infrastructure programmes across multiple teams
• Owned petabyte-scale object storage end-to-end (data layout, lifecycle, performance, cost) with measurable outcomes
• Built scalable systems for data ownership, tagging, cataloguing, retention or deletion
• Strong security and access-management expertise (IAM/RBAC, encryption, auditing, secure replication)
• Hands-on software engineer with Python or Go, plus production Kubernetes, Terraform and CI
• Ability to influence technical decisions, mentor others, and start in a founding role
• Hybrid working from London office
• Experience with AWS or GCP; Azure experience not required

• leadership and mentorship
• cross-team collaboration
• problem solving with a bias for action
• Python
• Go
• Kubernetes

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