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Senior Site Reliability Engineer - Storage

Lambda· Data Center Business
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Hybrid (San Francisco Office (Fremont St)), Hybrid (San Jose Office (First St))$267k - $356kFull-timePosted 2mo ago

About the role

Lambda's Storage Engineering team is responsible for the reliability, performance, and capacity of Lambda's production storage fleet across data centers, delivering end-to-end storage solutions and self-healing automation in a software-defined storage environment.

Responsibilities

  • Own the reliability, performance, and capacity health of Lambda's production storage fleet across all data centers, operating behind Lambda's own software-defined data plane.
  • Build and maintain monitoring, dashboards, and alerting for storage performance, capacity, and hardware failures.
  • Investigate and resolve storage-related incidents using deep telemetry, logs, and performance profiling — from a single flapping NIC to a cluster-wide rebuild.
  • Automate ticketing, escalation, and incident-response workflows so the team spends less time on repetitive triage and more time on root cause.
  • Design and maintain self-healing automation for common failure modes: drive replacement, node swaps, rebuild monitoring, and capacity rebalancing.
  • Implement CI/CD pipelines for storage automation and tooling.
  • Partner with Storage Engineers, Fleet Orchestration, and Release Engineering to automate the deployment and configuration of software-defined storage across new and existing sites using tools such as Ansible, Jenkins etc.
  • Work with hardware and networking teams to diagnose low-level I/O and network issues — NIC errors, RDMA/RoCE/InfiniBand fabric health, path multipathing — that surface as storage-layer symptoms.
  • Participate in an on-call rotation supporting Lambda's storage fleet, with a focus on driving down MTTR and building the automation that keeps you from getting paged for the same thing twice.

Qualifications

  • 5+ years of experience operating Linux systems in production or HPC environments, with hands-on storage experience at scale on scale-out or software-defined platforms (e.g., CEPH, Lustre, GPFS, or similar).
  • Hands-on experience operating Software-Defined Storage (SDS) platforms at scale, including integrating with their management and data-plane APIs.
  • Strong incident-response instincts: comfortable owning a production storage incident end to end, from first alert through root cause to postmortem.
  • Working experience with monitoring and logging platforms such as Prometheus, Grafana, Alertmanager, Datadog, or SumoLogic — including building dashboards and alert/pager routing for multiple audiences.
  • Working experience with Kubernetes (GitOps tooling such as ArgoCD, Helm/Kustomize) and hands-on troubleshooting.
  • Working experience with CI/CD tooling (GitHub Actions, Jenkins, BuildKite), containerization (Docker/Podman), and systems programming in Python or Go.
  • Working experience with Infrastructure as Code (Terraform, Ansible).
  • Solid understanding of core storage protocols across file (NFS, SMB), object (S3), block (NVMe-oF/TCP), and structured (vector DB, SQL) storage.

Skills

Required:Linux systems operation in production/HPC environmentsSoftware-Defined Storage (SDS) platformsIncident response and root cause analysisMonitoring/logging platformsKubernetes and GitOps toolingCI/CD tooling and containerizationInfrastructure as CodeStorage protocols (NFS, SMB, S3, NVMe-oF/TCP)

Benefits

  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use
Last updated Aug 27, 2026. Interested? Apply on the company site.

About Lambda

The Superintelligence Cloud

The gigawatt-scale AI GPU Cloud built for superintelligence. Featuring on-demand & reserved cloud NVIDIA HGX B200, B300, GB200, GB300 and H200 GPUs for AI training & inference.

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