Senior SRE: FinOps-Driven Infra, GPU & Scale

Level AI; Mountain View (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Level AI, headquartered in Mountain View, California, seeks a Senior SRE to join the infrastructure and FinOps focus. The role bridges backend engineering, operations, and cost optimization, delivering tooling and dashboards that empower backend teams to own costs and reliability while advancing GPU performance and security readiness.

Ideal candidates bring 4–5 years of hands-on systems experience, deep Kubernetes expertise at scale, and strong cloud/on-prem infrastructure skills.

Qualifications

• 4–5 years of hands-on systems experience.
• Backend engineering depth with Python, Go/Rust, and end-to-end ownership.
• Kubernetes at scale: scheduler behavior, resources, HPA/VPA, cost-aware autoscaling.
• Cloud and on-prem infrastructure: GCP fluency, IaC (Terraform), CI/CD, and hybrid setups with on-prem GPU clusters.
• GPU workload understanding: throughput profiling, batching, GPU utilization metrics.
• Observability and reliability: metrics, traces, logs, SLOs, proper instrumentation.
• FinOps mindset: history of turning infra choices into cost savings.
• Security baseline: ability to lead platform-security workstreams.

Responsibilities

• Infrastructure cost efficiency and FinOps. Own reduction of Kubernetes overprovisioning and cost telemetry for backend teams.
• GPU throughput optimization. Run structured experiments on on-prem GPU clusters in partnership with AI service owners.
• Backend enablement, not ownership absorption. Build tooling, dashboards, and processes for teams to own cost and reliability budgets.
• Reliability instrumentation. Ensure surface area is captured for cost-at-scale and reliability.
• Selective security workstreams. Take on security-adjacent platform changes without overloading DevOps.

Skills

Python

Go/Rust

Kubernetes

Cloud/GCP

Terraform

CI/CD

GPU workloads

Observability

FinOps

Security baseline

Tools

Cast AI

Karpenter

Terraform

CI/CD

GCP

GPU clusters

Job description

Level AI, headquartered in Mountain View, California, seeks a Senior SRE to join the infrastructure and FinOps focus. The role bridges backend engineering, operations, and cost optimization, delivering tooling and dashboards that empower backend teams to own costs and reliability while advancing GPU performance and security readiness.

Ideal candidates bring 4–5 years of hands-on systems experience, deep Kubernetes expertise at scale, and strong cloud/on-prem infrastructure skills.