Site Reliability Engineer

Position Overview

• Location Type: Hybrid (San Francisco office - 4 days per week, Tuesday is designated work from home day)
• Job Type: Full-Time
• Salary: $245K - $385K

Lambda is an AI company built by AI engineers, focused on being the world’s top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Our AI Cloud has been adopted by leading companies and research institutions. Our goal is to make computation as effortless and ubiquitous as electricity. Join us to build the world’s best deep learning cloud.

Requirements

• Experience: 5+ years of experience in Site Reliability Engineering or DevOps roles.
• Cloud Platforms: Strong understanding of cloud platforms (AWS, GCP, Azure) and their core services.
• Monitoring & Observability: Experience designing and implementing monitoring and observability solutions at scale.
• Incident Management: Proven track record managing production incidents and driving root cause analysis.
• IaC & CI/CD: Proficiency with Infrastructure as Code tools and CI/CD pipeline implementation (e.g., Argo, Terraform).
• Networking: Strong understanding of network architecture, load balancing, and content delivery.
• Database: Knowledge of database administration and optimization strategies.
• Coding Skills: Solid coding skills in at least one language (Python, Go, Bash) for automation.

Responsibilities

• Design and implement cloud-native architectures that deliver 99.99% reliability while balancing performance and cost efficiency.
• Develop comprehensive monitoring and alerting systems with actionable dashboards for real-time system health visibility.
• Implement SLIs, SLOs, and SLAs across services and maintain error budgets.
• Automate deployments using tools like Argo and Terraform.
• Create robust incident management processes, escalation paths, and documentation.
• Design and implement disaster recovery solutions with regular testing procedures.
• Lead post-incident reviews focused on systemic improvements.
• Champion reliability best practices and system design principles.
• Build automated, auditable, and compliant processes to improve efficiency and productivity.

Nice to Have (Bonus Skills)

• Experience with high-throughput, low-latency systems.
• Knowledge of security best practices and implementing defense-in-depth strategies.
• Experience with multi-region and distributed systems.