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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. One person, one GPU. If you'd like to build the world's best AI cloud, join us. Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. 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. You will work across Kubernetes, infrastructure automation, observability, deployment systems, and incident response to build a resilient foundation for customer AI workloads. What You’ll Do 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. You Have 7+ years of experience in site reliability, infrastructure, distributed systems, or production software engineering. Have deep experience operating Kubernetes in production. Understand Kubernetes architecture, scheduling, networking, resource management, upgrades, and common failure modes. Have experience with physical data centers, private cloud, hybrid cloud, or environments without full reliance on managed services. Are proficient with Terraform or similar infrastructure-as-code tools. Have built CI/CD or GitOps workflows using tools such as Argo CD, Flux, Helm, or Kustomize. Have 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. Have 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. Nice to Have Experience with AI infrastructure, GPU platforms, or high-performance computing. Experience operating distributed systems across multiple regions or data centers. Experience with Kubernetes controllers, operators, CRDs, admission control, or scheduler extensions. Experience with etcd performance, backup, restore, or disaster recovery. Experience with Linux systems, container runtimes, cgroups, storage, or networking. Experience with chaos engineering, fault injection, or automated remediation. Experience with Kubernetes RBAC, OIDC, workload identity, or certificate management. Familiarity with SOC 2, ISO 27001, or similar compliance frameworks. Salary Range Information 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. About Lambda 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 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 Equal Opportunity Employer 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. Compensation Range: $240K - $356K
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.