Staff Software Engineer, Storage Platform

Overview

In this role you will define and lead the storage platform that powers Wayve’s embodied AI for autonomous driving. You will architect and deliver production data services that scale to petabytes and beyond, collaborating with Infrastructure, Security, Privacy, Data Engineering and ML teams. You’ll reduce storage bottlenecks, improve data access, and strengthen governance and safe deletion of vehicle data. This is a founding, hands-on position with strong technical ownership and potential to grow a team.

Pay / Benefits

• hybrid working
• salary benchmarking
• meaningful equity
• relocation support and visa sponsorship
• learning and development budgets
• health insurance and dental care

Responsibilities

• Lead a multi-quarter storage programme from problem definition to adoption
• Build production services and infrastructure using Python, Go, Kubernetes and Terraform
• Partner with ML and data teams to optimize access patterns and data movement
• Strengthen access controls, auditing and safe deletion with Security and Privacy
• Write design documents and RFCs, mentoring engineers as the team grows
• Define data ownership, retention policies and cost attribution
• Implement retention, deletion and re-tiering for Azure Blob with audit trails and recovery
• Improve read performance and caching to reduce latency and cross-region hops
• Design Kubernetes-native NVMe caching and secure cross-region replication
• Establish dashboards, SLOs and standards for availability, performance and cost

Key requirements

• Staff Engineer scope experience leading complex infrastructure programmes
• End-to-end ownership of petabyte-scale object storage including layout, lifecycle, performance and cost
• Experience with data ownership, tagging, cataloguing, retention or deletion
• Strong security and IAM/RBAC, encryption, secure replication and auditing
• Hands-on software engineering with Python and/or Go, Kubernetes, Terraform, CI
• Ability to influence decisions, mentor others and start in a founding role
• Hybrid work capability from London office
• Experience with AWS or GCP welcomed (Azure not required)

• leadership
• mentorship
• influence without authority
• Python
• Go
• Kubernetes

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