Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
About the Role
As a founding Cloud Site Reliability Engineer at Wayve, you will build and scale the reliability foundations of our AI cloud platform, including the Model Development Platform and GPU Compute platform. You will define frameworks, automation, and operational standards to ensure infrastructure operates predictably, efficiently, and at scale, enabling faster model training, reliable experimentation, and scalable AI deployment.
Responsibilities
- Own the reliability, availability, and performance of the Model Dev Platform and GPU Compute environments.
- Define and operationalize 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 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.
- 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.
Requirements
- 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.
- Strong Linux fundamentals and proficiency in at least one scripting or systems language (e.g. Python, Go, C++) with a bias toward automation.
- Deep troubleshooting skills across networking, storage, distributed systems, and performance at scale.
- Experience designing and operating observability stacks (e.g. Datadog, Prometheus, Grafana, OpenTelemetry).
- Clear communication skills, including leading incidents, writing postmortems, and influencing teams to prioritise reliability improvements.
Skills
- Kubernetes
- AWS
- GCP
- Azure
- Python
- Go
- C++
- Datadog
- Prometheus
- Grafana
- OpenTelemetry
- AI/ML training workloads
- Inference workloads
- MLOps
- Terraform
Location
- London
Work Type
- Full-time
- Hybrid
Experience Level
- Founding role
- Early or founding SRE hire
About the Company
- At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.