Founding Cloud SRE for AI/ML Platform & GPU Compute

Wayve

Greater London

Hybrid

GBP 120,000 - 180,000

Full time

14 days+

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

Wayve is seeking a founding Staff Site Reliability Engineer to shape the reliability of its AI cloud platform, including Model Development Platform and GPU Compute. You will build the reliability foundations from ground up, define standards, and drive automation to scale multi-tenant infrastructure.

Based in London with hybrid flexibility, you will work at the intersection of AI research, cloud infrastructure, and production operations, enabling faster model training and reliable experimentation.

Qualifications

Experience operating GPU-backed environments or large-scale ML infrastructure.
Experience running model training or inference pipelines in production (MLOps).
Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
Clear communication skills, including incident leadership and postmortems.

Responsibilities

Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
Define and operationalise SLOs, SLIs, and error budgets across platform services.
Lead incident response with 24/7 on-call rotation and post-incident learning.
Design and operate observability stacks and dashboards for real user-centric health.
Harden CI/CD and infrastructure-as-code to improve deployment safety and velocity.