BestApply

Infrastructure Engineer

People Culture Talent

  • San Francisco, California, United States
  • $200,000 - $350,000 a year
  • Posted Apr 1, 2026
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StreamingGoAPI DevelopmentAWSRate LimitingRustRedisTerraformAuthenticationSOC2 ComplianceKubernetesAudit Logging

Job description

About the role

You will own core infrastructure that transforms the company’s research advantage into enterprise products, building API‑based services for enterprise customers. As a founding member of the developer/enterprise team, you’ll work directly with founders and early customers to define, design, and ship low‑latency, high‑reliability APIs, enterprise‑grade features, and observability tooling across the stack.

About the company

Arena Intelligence is an open platform for evaluating AI model performance, originating from UC Berkeley’s SkyLab and backed by investors such as Felicis, Andreessen Horowitz, Kleiner Perkins and Lightspeed. Its leaderboards are considered the industry gold standard, serving over a million daily users and trusted by major AI labs like OpenAI, Google, and Anthropic. The team comprises researchers and engineers from top institutions (UC Berkeley, Google, Stanford, DeepMind), focused on truth‑seeking, fast execution, and high‑impact craftsmanship.

Requirements

  • 4+ years of backend engineering experience with significant work on distributed systems, infrastructure, or developer‑facing platforms
  • Strong proficiency in Go and/or Rust with hands‑on experience building high‑throughput APIs or proxy/gateway systems
  • Experience with LLM provider APIs (OpenAI, Anthropic, Google, etc.) and understanding of streaming, token management, rate limits, and model‑specific quirks
  • Solid cloud infrastructure skills, comfortable with AWS or GCP, Kubernetes, Terraform, and databases such as Postgres and Redis
  • Product‑oriented mindset focused on developer experience of APIs
  • Comfort with ambiguity in a startup environment, able to wear many hats
  • Nice to have: Experience building API gateways, proxies, or developer tools (e.g., Bifrost, Kong, Envoy, Tyk, or custom)
  • Nice to have: Background in ML infrastructure, model serving, or evaluation frameworks
  • Nice to have: Experience building enterprise‑ready features like SSO, RBAC, audit logs, and multi‑tenancy
  • Nice to have: Familiarity with modern AI infra stack such as vLLM, LiteLLM, LangChain