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Arena

Software Engineer, Platform

Arena

. Design and implement low-latency, high-reliability APIs for leaderboards, models, and arenas .

Posted 9/24/2026full-timeSan Francisco • California • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive backend engineering expertise with a strong proficiency in Go, focusing on building low-latency, high-reliability APIs and enterprise-grade infrastructure. Capable of integrating with LLM provider APIs and implementing robust systems for online AI evaluation.

Highest-signal resume keywords
Backend Engineering ExperienceProficiency In GoExperience With LLM Provider APIsCloud Infrastructure ExperienceAPI Gateway Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Backend EngineeringAPI DevelopmentDistributed SystemsStreaming ManagementRate LimitingToken ManagementFailure RecoveryResponse NormalizationInfrastructure InstrumentationEnterprise-Grade Features
Soft Skills
Product-Oriented MindsetComfort With AmbiguityCollaboration
Tools & Technologies
AWSGCPAzureKubernetesTerraformPostgresRedisStripeMetronomeOrb
Industry Keywords
SOC 2 ComplianceAI/ML InfrastructureModel ServingInference FrameworksAudit Logging

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsGoogle Cloud PlatformKubernetesPostgresRedisTerraformGo

About the role

Key responsibilities & impact
  • Design and implement low-latency, high-reliability APIs for leaderboards, models, and arenas
  • Handle SSE and streaming responses across heterogeneous model providers
  • Implement partial failure recovery, mid-stream fallback, and consistent response normalization
  • Build enterprise-grade infrastructure including rate limiting, authentication, usage metering, cost attribution, audit logging, and SOC 2 compliance capabilities
  • Instrument infrastructure with distributed tracing, latency breakdowns, token-level usage tracking, and real-time dashboards
  • Integrate with the core evaluation platform, Arena data, and customer-specific benchmarks
  • Collaborate with the research team to turn novel ideas into full-featured products
  • Contribute to the backend of the Leaderboards and Evals platforms
  • Help unify public and private data architectures
  • Work closely with researchers, engineers, and product leadership as an early infrastructure-team member
  • Operate as a hands-on individual contributor building foundational infrastructure for online AI evaluation systems

Requirements

What you’ll need
  • ~5+ years of backend engineering experience, with meaningful time spent on distributed systems, infrastructure, or developer-facing platforms
  • Proven delivery on meaningful backend work for Senior level
  • Extensive, deep experience owning backend systems end to end for Staff level
  • Strong proficiency in Go; Go is the primary backend language and a must-have
  • Experience with LLM provider APIs such as OpenAI, Anthropic, and Google
  • Working understanding of streaming, token management, rate limits, and model-specific quirks
  • Product-oriented mindset focused on developer experience
  • Comfort with ambiguity and wearing many hats in a startup environment
  • Legally authorized to work in the US
  • Nice to have: cloud infrastructure experience with AWS, GCP, or Azure
  • Nice to have: Kubernetes, Terraform, Postgres, and Redis
  • Nice to have: experience building API gateways, proxies, or developer tools
  • Nice to have: background in AI/ML infrastructure, model serving, inference, or evaluation frameworks
  • Nice to have: enterprise-ready features such as SSO, RBAC, audit logs, and multi-tenancy
  • Nice to have: billing infrastructure experience with Stripe, Metronome, or Orb
  • Nice to have: familiarity with vLLM, LiteLLM, or LangChain

Benefits

Comp & perks
  • Equity aligned to the market where the team member is based
  • Comprehensive health and wellness benefits
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Additional support programs
  • Opportunity to work on cutting-edge AI with a small, mission-driven team
  • Culture that values transparency, trust, and community impact