Job Overview
Location
San Francisco Office (Fremont St)
Job Type
Full-time
Category
DevOps & SysAdmin
Date Posted
May 10, 2026
Full Job Description
đź“‹ Description
- • Senior Site Reliability Engineer - Observability role at Lambda Inc., a leader in AI cloud infrastructure serving tens of thousands of customers, focused on making compute as ubiquitous as electricity and delivering superintelligence power to everyone.
- • Deploy and operate observability platforms for logging, metrics, and distributed tracing; automate deployment and operation of these systems; set up monitoring for modern AI/HPC cluster infrastructure; develop platform software to improve observability adoption and product reliability; lead cross-team engineering efforts to solve monitoring challenges.
- • Engineering team at Lambda builds and scales cloud offerings including website, cloud APIs, systems, and internal tooling for deployment, management, and maintenance; operates with a hybrid model requiring 4 days/week in SF, San Jose, or Bellevue offices with Tuesday as remote day.
- • Opportunity to deepen expertise in observability, SRE practices, Kubernetes, Go, and modern DevOps while influencing reliability across AI infrastructure used by researchers, enterprises, and hyperscalers.
🎯 Requirements
- • 8+ years of software engineering experience with 3+ years in Go
- • 5+ years of Site Reliability Engineering practices
- • Proven understanding of Observability tools and practices
- • Experience with application deployment and monitoring using Kubernetes
- • Strong experience with modern DevOps practices
🏖️ 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
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
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.
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