Senior Cloud SRE - AI/ML Platform & GPU Compute

• Build and scale the reliability foundations of our AI cloud platform.
• Own the reliability, availability, and performance of our Model Development Platform and GPU Compute environments.
• Define and operationalise SLOs, SLIs, and error budgets across platform services.
• Improve capacity planning, scaling strategies, and resource efficiency across large GPU-backed clusters.
• Partner with ML, platform, and software teams to establish clear production readiness standards.
• Participate in a 24/7 on-call rotation as the first-line response for cloud and cluster-related incidents.
• Lead incident triage, escalation, communications, and root cause analysis.
• Translate post-incident learning into durable architectural or automation improvements.
• Continuously reduce alert noise and recurring operational burden.
• Design and operate monitoring, logging, tracing, and alerting systems that enable rapid detection and recovery.
• Build dashboards that reflect real user-centric platform health, not just infrastructure metrics.
• Improve deployment safety through better change management, validation, and rollback mechanisms.
• Build automation for cluster operations, training workflows, remediation, and scaling tasks.
• Implement self-healing patterns and resilient recovery workflows.
• Harden CI/CD and release processes to improve deployment safety and velocity.
• Support infrastructure-as-code and policy-driven guardrails to ensure secure, reliable cloud environments.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Datadog
• GCP
• Grafana
• Hardware
• Support
• Kubernetes
• Linux
• Model Training
• OpenTelemetry
• Prometheus
• Python
• Terraform
• DevOps
• MLOps

More:

We are Wayve, founded in 2017 and the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments, improving the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward, and our intelligent, mapless, hardware-agnostic AI products are designed for automakers to accelerate the transition from assisted to automated driving. We work in a fast-paced, ambitious environment where we embrace uncertainty, tackle complex challenges, and keep learning as we build a smarter, safer future. We value diversity, welcome new perspectives, and foster an inclusive, hybrid working culture that combines time together in our London office with time working from home to support innovation, culture, relationships, and learning. We are committed to an inclusive interview experience and encourage applicants from all backgrounds to apply.

• Proven experience in an SRE, Production Engineer, or Cloud Reliability role supporting large-scale cloud systems.
• Strong Kubernetes experience, including operating production clusters.
• Hands-on experience running production workloads in AWS, GCP, or Azure.
• Experience operating complex distributed systems in production, ideally including compute-heavy or high-performance workloads.
• Experience working with large compute clusters; exposure to AI/ML training or inference workloads is strongly preferred.
• Strong Linux fundamentals and proficiency in at least one scripting or systems language such as Python, Go, or C++, with a bias toward automation.
• Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
• Experience designing and operating observability stacks such as Datadog, Prometheus, Grafana, or OpenTelemetry.
• Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.
• Experience operating GPU-backed environments or large-scale ML infrastructure is desirable.
• Experience running model training or inference pipelines in production is desirable.
• Familiarity with infrastructure-as-code such as Terraform and secure cloud production environments is desirable.
• Experience defining and running SLOs and SLIs, and building reliability programs across multiple teams is desirable.
• Experience as an early or founding SRE hire establishing processes from scratch is desirable.
• Interest in helping shape and grow a Cloud SRE function, with potential to take on leadership responsibilities over time is desirable.
• This is a full-time role based in our London office, with 2 days a week in the office.