Senior Site Reliability Engineer - Core Cloud Platform

About the role

Lambda’s Core Cloud Platform powers compute provisioning and infrastructure orchestration across our physical data centers. We are looking for a Senior Site Reliability Engineer to improve the reliability, scalability, and operational maturity of these systems as Lambda’s fleet and customer base grow.

Responsibilities

• Operate and scale critical platform services across Lambda’s data centers.
• Improve the reliability of compute provisioning, Instance lifecycle, and regional orchestration systems.
• Build monitoring, alerting, and tracing for service health, provisioning latency, and customer-impacting failures.
• Define SLIs, SLOs, error budgets, and operational readiness standards.
• Automate detection and remediation of configuration drift, failed workflows, and orphaned resources.
• Build safe deployment, rollback, and disaster recovery workflows using infrastructure as code and GitOps.
• Design fault-isolation mechanisms that reduce blast radius and prevent cascading failures.
• Lead production incident response, postmortems, and durable corrective actions.
• Partner with Compute, Networking, Storage, Security, and Support teams.
• Participate in on-call and improve its sustainability through automation and better tooling.
• Mentor engineers and raise the reliability bar across the organization.

Requirements

• 7+ years of experience in site reliability, infrastructure, distributed systems, or production software engineering.
• Deep experience operating Kubernetes in production.
• Understand Kubernetes architecture, scheduling, networking, resource management, upgrades, and common failure modes.
• Experience with physical data centers, private cloud, hybrid cloud, or environments without full reliance on managed services.
• Proficient with Terraform or similar infrastructure-as-code tools.
• Experience with CI/CD or GitOps workflows using tools such as Argo CD, Flux, Helm, or Kustomize.
• Experience with observability platforms such as OpenTelemetry, Prometheus, Grafana, or Datadog.
• Can build production-quality tooling in Go, Python, or a similar language.
• Understand distributed systems concepts including consistency, retries, idempotency, backpressure, and partial failure.
• Experience defining and operating against SLIs and SLOs.
• Can lead effectively during high-severity incidents.
• Approach recurring operational issues as engineering and automation problems.
• Communicate clearly and work effectively across teams.
• Bring strong ownership, sound judgment, and low ego.

Qualifications

• Experience with AI infrastructure, GPU platforms, or high-performance computing is a plus.
• Experience operating distributed systems across multiple regions or data centers is a plus.
• Experience with Kubernetes controllers, operators, CRDs, admission control, or scheduler extensions is a plus.
• Experience with etcd performance, backup, restore, or disaster recovery is a plus.
• Experience with Linux systems, container runtimes, cgroups, storage, or networking is a plus.
• Experience with chaos engineering, fault injection, or automated remediation is a plus.
• Experience with Kubernetes RBAC, OIDC, workload identity, or certificate management is a plus.
• Familiarity with SOC 2, ISO 27001, or similar compliance frameworks is a plus.

Skills

• Strong understanding of cloud infrastructure and operations.
• Experience with Kubernetes and related technologies.
• Ability to troubleshoot and resolve complex technical issues.
• Excellent communication and collaboration skills.
• Strong problem-solving and analytical skills.

Benefits

• Competitive salary range of $240K - $356K.
• 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.

Pay

The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.

Schedule

One person, one GPU. Join us in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Company Overview

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. Founded in 2012, with 500+ employees, and growing fast, our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove. We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG. Our values are publicly available: https://lambda.ai/careers. We offer generous cash & equity compensation, wellness and commuter stipends for select roles, a 401k Plan with 2% company match (USA employees), and a flexible paid time off plan that we all actually use. Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.