Senior Platform Engineer

Lambda • San Francisco, CA

93d

About The Position

We're here to help the smartest minds on the planet build Superintelligence. The labs pushing the edge? They run on Lambda. Our gear trains and serves their models, our infrastructure scales with them, and we move fast to keep up. If you want to work on massive, world-changing AI deployments with people who love action and hard problems, we're the place to be. If you'd like to build the world's best deep learning cloud, join us. Note: This position requires presence in our San Francisco, San Jose, or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.

Requirements

• 5+ years of experience in Platform, Infrastructure, or SRE roles.
• Expert knowledge of Kubernetes internals and operational practices.
• Proven experience running Kubernetes clusters in production at scale.
• Strong skills with Helm, Kustomize, or similar deployment tooling.
• Solid understanding of networking, service meshes, and container runtimes.
• Proficiency in infrastructure-as-code (Terraform, Pulumi, etc.).
• Experience with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry).
• Familiarity with security best practices (network policies, secrets management, image scanning).
• Strong coding skills in Go, Python, or similar for automation.
• Comfort with GitOps workflows and CI/CD integration.
• Excellent problem-solving skills and ability to operate in complex environments.

Nice To Haves

• Experience with multi-cluster, multi-cloud, or hybrid environments.
• Knowledge of GPU scheduling, HPC workloads, or ML/AI infrastructure.
• Exposure to cost optimization and capacity planning for large clusters.
• Contributions to CNCF or Kubernetes open-source projects.

Responsibilities

• Architect, deploy, and manage Kubernetes clusters across AWS, OCI, and on-prem datacenters.
• Build and maintain automation for cluster lifecycle management, upgrades, and scaling.
• Own the reliability, performance, and security of Kubernetes workloads.
• Implement observability, logging, and alerting for clusters and critical workloads.
• Partner with developers to design scalable, cloud-native services and CI/CD pipelines.
• Define and enforce best practices for resource usage, networking, and RBAC.
• Lead incident response, root cause analysis, and post-mortems for cluster-related issues.
• Mentor junior engineers and contribute to internal platform engineering standards.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level