Senior SRE - Remote, GPU & FinOps Infra Lead

Level AI; Mountain View (CA); Remote; USD 180,000 - 260,000; Full time

Job summary

Level AI is seeking a Senior Site Reliability Engineer in Mountain View to drive cost efficiency and reliability across our AI-native platform. You’ll own Kubernetes optimization, cost telemetry, and GPU workflow tuning while collaborating with backend teams to enable cost-aware engineering.

Ideal candidates have 4–5 years of hands-on systems experience, strong Python/Go/Rust skills, and deep knowledge of Kubernetes at scale.

Qualifications

• 4–5 years of hands-on systems experience.
• Backend engineering depth: production-grade services in Python/Go/Rust.
• Kubernetes at scale: scheduling, resource management, autoscaling considerations.
• Cloud and on-prem infrastructure: GCP fluency, IaC (Terraform), CI/CD.
• GPU workload understanding: profiling, batching, utilization metrics.
• Observability and reliability: metrics, traces, logs, SLOs.

Responsibilities

• Reduce Kubernetes overprovisioning; drive right-sizing programs and cost telemetry.
• Run structured GPU throughput experiments on on‑prem GPU clusters; partner with AI service owners.
• Build tooling, dashboards, and processes for cost and reliability budgets across teams.
• Own reliability instrumentation; ensure surface area is captured for cost‑at‑scale and reliability.
• Tackle defined security workstreams without over-reliance on the DevOps team.

Skills

Python

Go/Rust

Kubernetes

GCP

Terraform

CI/CD

Observability

FinOps

Security

Job description

Level AI is seeking a Senior Site Reliability Engineer in Mountain View to drive cost efficiency and reliability across our AI-native platform. You’ll own Kubernetes optimization, cost telemetry, and GPU workflow tuning while collaborating with backend teams to enable cost-aware engineering.

Ideal candidates have 4–5 years of hands-on systems experience, strong Python/Go/Rust skills, and deep knowledge of Kubernetes at scale.