Lambda

IT Systems Engineer - Internal Platforms & SRE

Lambda
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2 months ago
San Francisco, CA, USA or San Jose, CA, USASenior
H1B sponsor

Base Salary

$206k - $275k/yr

Responsibilities

  • Design, write, and deliver software and services that improve the availability, scalability, reliability, and efficiency of internal IT systems and platforms
  • Build automation for mission-critical services to prevent recurring problems and automate responses to non-exceptional events
  • Influence and create designs, architectures, standards, and methods for large-scale distributed systems
  • Perform service capacity planning, demand forecasting, software performance analysis, and system tuning
  • Produce documentation and related artifacts for owned systems
  • Implement and manage paging, alerting, and on-call scheduling flows

Requirements

  • Interest in system design and architecting for performance, scalability, and multiple cloud infrastructure platforms
  • Knowledge of configuration management systems and toolchains such as Chef, Ansible, Terraform, and GitHub Actions
  • Solid programming skills in Python, Go, or similar languages
  • Ability to collaborate asynchronously and document issues and solutions
  • Strong problem-solving, communication, and ownership mindset

Benefits

  • Hybrid work arrangement requiring presence in the San Francisco or San Jose office 4 days per week, with Tuesday designated as the work-from-home day
  • Generous cash and equity compensation
  • Health, dental, and vision coverage for employees and dependents
  • Wellness and commuter stipends for select roles
  • 401(k) plan with a 2% company match for U.S. employees
  • Flexible paid time off plan

Tech Stack

Categories

DevOpsSite Reliability
Lambda

About Lambda

501-1,000 employees

Lambda provides GPU cloud computing and on-prem AI hardware—servers, clusters, and workstations—for teams training and serving large ML models. Its products include NVIDIA H100/A100 instances, managed clusters, and the Lambda Stack software, sold via usage-based cloud pricing and hardware sales. Founded in 2012 and headquartered in San Francisco, the privately held company serves researchers, startups, enterprises, and hyperscalers.

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