Senior Manager, Reliability Engineering & AIOps

The group you’ll be a part of

You will join the Reliability Engineering team within Infrastructure Platform Engineering. The group keeps Lam's global infrastructure estate available and recoverable across Azure, AWS, GCP, compute, storage, network, and high-performance computing, supporting engineering and operations teams in the US, Japan, Singapore, Malaysia, India, and Korea. The impact you’ll make

As Senior Manager of Reliability Engineering & AIOps, you lead the team that keeps critical infrastructure running and proves it is ready for the next failure. In this role, you will directly contribute to the availability of the systems Lam's engineering, manufacturing, and business teams depend on every day, and you will build the automation that makes outages rare, short, and unremarkable. What you’ll do

Lead, hire, and develop the reliability engineering team, owning on-call health while staying technically hands-on. Set the reliability strategy: define the service level objective program, publish an error-budget policy, and drive adoption across platform and service teams. Build and run a follow-the-sun on-call and response model across six regions, with clean handoffs and one consistent set of runbooks and severity definitions worldwide Own the incident management and paging platform end to end, including services, schedules, escalation policies, and routing, configured as code and tuned so alerts fire on real risk rather than noise Serve as incident commander on major incidents, own executive and stakeholder communications, and lead blameless postmortems with tracked follow-up. Own disaster recovery strategy and execution across Azure, AWS, GCP, and core infrastructure platforms, including service-tier recovery objectives, backup and restore validation, failover readiness, DR certification, runbook governance, and recurring exercises measured against RTO and RPO targets Lead capacity planning and performance engineering across Azure, AWS, GCP, compute, storage, network, and HPC platforms, using demand forecasting, utilization trends, growth modeling, and automation to prevent capacity risk and reduce manual operational work Define and drive AI Ops requirements for reliability engineering across Azure, AWS, and GCP, including Microsoft Copilot, Cursor, GitHub Copilot, and LLM-based operational workflows for incident triage, runbook generation, knowledge retrieval, root-cause analysis, and safe remediation recommendations. This is a full-time role on a standard schedule, with participation in a global on-call rotation.   Who we’re looking for

Bachelor's degree in Computer Science, Engineering, or a related field with 15 years of related experience; or a Master's degree with 12 years of experience; or equivalent experience. Experience leading or mentoring a reliability or operations team and setting technical direction Proven incident command on major outages, plus ownership of a postmortem process Strong background in disaster recovery planning across Azure, AWS, GCP, and core infrastructure platforms, including restore validation, failover testing, recovery-objective definition, and corrective action tracking after DR exercises or production incidents Hands-on ownership of an incident management and paging platform at scale, such as PagerDuty Experience with capacity planning, performance trending, utilization analysis, and infrastructure demand forecasting for globally distributed production environments across Azure, AWS, GCP, and on-premises platforms Track record of defining and defending service level objectives and error budgets in production Working depth in observability tooling (Prometheus, Grafana, Loki, Tempo or equivalent), infrastructure as code (Terraform), and Python or Go Practical experience applying AI-assisted engineering and operations tools such as Microsoft Copilot, Cursor, GitHub Copilot, or enterprise LLM platforms to improve troubleshooting,