Observability Lead - Cloud SRE & Network Reliability

The group you’ll be a part of

The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives.

Our team at Lam is seeking a hands‑on Observability Lead with a strong Site Reliability Engineering (SRE) and multi‑cloud networking foundation to join our GIS Infrastructure Platform Engineering team. You will lead engineers in delivering robust observability frameworks, SLA/SLO/SLI disciplines, DR/BCP programs, backup and restore operations, and end‑to‑end network reliability across Azure, AWS, and GCP. You will own the full‑stack delivery of observability, reliability, and resilience capabilities across a global multi‑cloud enterprise.

• Lead and grow a team delivering a world‑class observability platform across global, multi‑cloud production environments, including Azure, AWS, and GCP.
• Define and enforce SLA, SLO, and SLI frameworks across all infrastructure and network domains, driving continuous improvement through effective error budget management.
• Own end‑to‑end multi‑cloud network observability, including VNet and VPC traffic flows, Transit Gateway routing, BGP peering health, and inter‑region connectivity.
• Design and govern multi‑cloud networking architectures, including Azure VNet, AWS VPC and Transit Gateway, GCP VPC, and hybrid connectivity solutions such as Express Route, Direct Connect, and Cloud Interconnect.
• Design and implement agentic AI workflows using LLM‑based agents, RAG patterns, and orchestration frameworks to enable AIOps‑driven fault detection and remediation.
• Own disaster recovery (DR) and business continuity planning (BCP) strategy, including runbook authorship, multi‑cloud failover validation, and periodic DR drills to ensure RTO and RPO commitments are met.
• Lead backup and restore operations across multi‑cloud and hybrid environments, incorporating automated validation and cross‑cloud recovery workflows.
• Build robust monitoring and alerting pipelines by integrating Prometheus, Grafana, Datadog, Pager Duty, Thousand Eyes, Azure Monitor, Cloud Watch, and Google Cloud Operations into a unified observability stack.
• Drive automation‑first practices through self‑healing pipelines, remediation playbooks, and infrastructure‑as‑code (IaC) patterns to reduce toil and improve MTTR.
• Lead P1, P2, and P3 incident response efforts, including structured post‑mortems and action tracking.
• Define and drive the multi‑quarter roadmap for observability, reliability, networking, DR/BCP, and AI‑assisted operations.
• Support hiring, performance management, and career development for the team.

• A BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience), with 12+ years of overall experience in Infrastructure, SRE, Dev Ops, or Network Engineering and 6+ years of experience leading high‑performing SRE, Observability, or Platform Engineering teams.
• Proven expertise in defining, enforcing, and operating SLA, SLO, and SLI frameworks, including effective error budget management.
• Hands‑on experience with disaster recovery (DR) and business continuity planning (BCP), including RTO/RPO planning, failover testing, and continuity documentation.
• Deep expertise in backup and restore operations across multi‑cloud and hybrid environments.
• Strong multi‑cloud networking skills across Azure (VNet, Express Route, Virtual WAN), AWS (VPC, Transit Gateway, Direct Connect), and GCP (VPC, Cloud Interconnect, VPC‑SC).
• Experience building and operating observability platforms, including tools such as Prometheus, Grafana, Datadog, Pager Duty, Thousand Eyes, Splunk, or equivalent solutions, with a focus on network telemetry and flow analysis.
• Deep expertise in automation, including Ansible, Terraform, Python, and self‑healing infrastructure pipelines.
• Hands‑on experience with infrastructure as code (IaC), CI/CD pipelines, Kubernetes (AKS, EKS, GKE), and all three major cloud platforms.
• Strong programming skills in Python or Go for tooling,…