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Senior Site Reliability Engineer - Storage

LambdaSan Francisco Office (Fremont St)Data Center Business
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Salary
$267K - $356K USD
Job type
Full-time
Work mode
Remote
Posted
10 Aug 2026
Status
Open · checked 7d ago

About this role

Lambda is seeking a Senior Site Reliability Engineer for the Storage Engineering team in San Francisco to manage and scale production data platforms for artificial intelligence workloads. This role suits an experienced infrastructure professional who enjoys solving complex distributed storage challenges in high-performance environments.

Role Overview

The Senior Site Reliability Engineer - Storage will own the performance, capacity health, and reliability of Lambda's production storage fleet across data center locations. This position requires working from the San Francisco or San Jose office four days a week, with Tuesday designated as a work-from-home day. Responsibilities include building automated monitoring systems, leading incident response investigations, and partnering with hardware and networking teams to ensure high availability for demanding compute workloads.

Key Responsibilities

Ensure the reliability, performance, and capacity health of production storage fleets operating behind Lambda's software-defined data plane.
Construct and manage comprehensive monitoring, alerts, and dashboards tracking capacity, hardware status, and storage performance.
Troubleshoot and resolve storage incidents utilizing deep telemetry, performance profiling, and logs, managing issues ranging from individual component faults to cluster-level recoveries.
Develop self-healing automation to address recurring failure scenarios such as node swaps, drive replacements, rebuild monitoring, and capacity rebalancing.
Implement CI/CD pipelines dedicated to storage automation and operational tooling.
Collaborate with Fleet Orchestration, Storage, and Release Engineering groups to automate software-defined storage deployments using tools like Ansible and Jenkins.
Coordinate with networking and hardware teams to diagnose low-level I/O, path multipathing, and fabric health symptoms including RDMA, RoCE, and InfiniBand.
Participate in an on-call rotation geared toward lowering MTTR and implementing preventive automation.

Requirements

Minimum of 5 years of professional background operating Linux systems within production or high-performance computing settings.
Practical background managing scale-out or software-defined storage platforms at scale.
Experience operating Software-Defined Storage platforms, including management and data-plane API integration.
Strong incident response capabilities, handling production issues from initial detection through postmortem analysis.
Working knowledge of monitoring and logging utilities like Prometheus, Grafana, Alertmanager, Datadog, or SumoLogic.
Familiarity with Kubernetes, GitOps workflows including ArgoCD and Helm or Kustomize, and containerization using Docker or Podman.
Experience with CI/CD tools such as GitHub Actions, Jenkins, or BuildKite, alongside systems programming skills in Go or Python.
Proficiency in Infrastructure as Code frameworks including Terraform and Ansible.
Comprehensive understanding of storage protocols spanning file, object, block, and structured data systems.

Nice to Have

Background utilizing cutting-edge software-defined storage technologies like Weka or VAST.
Enterprise storage expertise involving Dell PowerScale, NetApp, Lustre, or GPFS.
Experience writing or running Kubernetes CSI drivers.
Familiarity with virtualization, KVM/QEMU, and SR-IOV.
Experience working with GPUDirect Storage, RoCE, InfiniBand, RDMA networking, and NIC-level diagnostics.
Contributions to open-source storage initiatives.

Skills and Tools

Python
SQL
Kubernetes
Docker
Terraform
Linux
Prometheus
Grafana
Ansible
Jenkins

Salary and Benefits

The annual salary range for this position is $267,000 to $356,000 USD per year. Employee benefits include generous cash and equity compensation packages, medical, dental, and vision health coverage for employees and dependents, a 401(k) plan featuring a 2% company match for US staff, wellness and commuter stipends for eligible roles, and a flexible paid time off policy.

About the Company

Founded in 2012, Lambda employs over 500 people and provides the superintelligence cloud infrastructure utilized by enterprise organizations, hyperscalers, and AI researchers globally. The company is backed by notable investors and institutions, with research contributions accepted at top-tier machine learning and graphics academic conferences.

How to Apply

Interested candidates should submit their application directly through the official Lambda careers page on the company website.

Skills and tech stack

Questions candidates ask

What is the salary range for this position?

The annual salary range is between $267,000 and $356,000 USD.

Where is this job located?

This position is based in the San Francisco office on Fremont Street, with a requirement to work on-site four days per week and the flexibility to work from home on Tuesdays.

How many years of experience are required?

Candidates must have 5+ years of experience operating Linux systems in production or high-performance computing environments with scale-out or software-defined storage.

What technical skills are needed?

Key technical skills include Python, SQL, Kubernetes, Docker, Terraform, Linux systems administration, and Infrastructure as Code frameworks.

What benefits does Lambda offer?

Lambda offers cash and equity compensation, medical, dental, and vision insurance, a 401(k) plan with a 2% company match, select wellness and commuter stipends, and flexible paid time off.

Ready to apply?

The application is on the official Lambda careers page.

Apply on company site