Senior Site Reliability Engineer - Storage

Lambda Inc.

Job Overview

Location

San Francisco Office (Fremont St)

Job Type

Full-time

Full Job Description

📋 Description

• 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.
• YOU HAVE
• 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.
• Nice to Have
• Experience with cutting-edge software-defined storage solutions such as VAST or Weka.
• Enterprise storage expertise in solutions such as NetApp, Dell PowerScale, GPFS, or Lustre.
• Experience writing or operating Kubernetes CSI drivers.
• Experience with SR-IOV and virtualization (KVM/QEMU).
• Experience with GPUDirect Storage, RDMA, InfiniBand, or RoCE networking.
• Familiarity with NIC-level diagnostics (ethtool, mlxlink) and fleet-wide operations tooling (clush or similar).
• Contributions to open-source storage projects.

🎯 Requirements

• 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.

🏖️ Benefits

• Generous cash & equity compensation.
• 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.

Skills & Technologies

Python

Node.js

Docker

Kubernetes

Terraform

Senior

Onsite

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

AI Job Fit Analysis

Pro

See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.

Lambda Inc.

Visit Website

About Lambda Inc.

Lambda Inc. provides cloud-based GPU clusters and workstations for artificial-intelligence research and development. The company designs and operates high-performance hardware infrastructure optimized for machine-learning workloads, offering on-demand access to NVIDIA GPUs, pre-configured deep-learning software stacks, and scalable storage. Customers include AI labs, universities, and enterprises training large language and computer-vision models. Founded in 2012, Lambda is headquartered in San Francisco and maintains data centers across North America and Europe.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.