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Senior Software Engineer, Infrastructure

hud· Engineering
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Hybrid (San Francisco)$105k - $260kFull-timePosted 4w ago

About the role

HUD is building reliable, fair and open infrastructure for AI data. The Senior Software Engineer, Infrastructure owns the reliability, scale, performance, and developer experience of HUD’s core infrastructure and backend systems, spanning AWS, Kubernetes, Terraform, CI/CD, observability, and backend services.

Responsibilities

  • Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services
  • Build and maintain AWS infrastructure with Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management
  • Design and improve backend and platform systems for scale, including capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths
  • Define and improve dashboards, alerts, logs, traces, SLOs, runbooks, and on-call workflows so failures are detected, debugged, and resolved quickly
  • Build reliable CI/CD, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk
  • Write clean, maintainable code where needed to automate systems, improve backend services, and create internal tooling

Qualifications

  • Have owned production cloud infrastructure for a high-availability, user-facing platform, with responsibility for uptime, performance, deployment safety, and cost
  • Deep experience with AWS infrastructure and containerized systems; experience with Terraform, Kubernetes/EKS, Docker, EC2, CodeBuild, ECR, S3, IAM, load balancers, networking, and secrets management is strongly preferred
  • Have built or operated CI/CD, environment management, release automation, observability, alerting, and incident response systems
  • Strong backend engineering judgment and ability to reason about service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes
  • Able to write clean, maintainable code and apply strong software engineering judgment across product architecture, infrastructure, backend systems, and developer workflows

Skills

Required:Production cloud infrastructureAWS infrastructureTerraformKubernetes/EKSCI/CD
Nice to have:Observability and incident response

Benefits

  • Competitive compensation
  • 100% covered top-of-the-line medical, dental, and vision (US and Singapore employees)
  • Lunch and dinner for in-office employees
  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
  • Equinox membership, 401k, commuter benefits (US employees) and health/wellness stipend (Singapore employees)
  • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc.
  • Two top-floor offices in San Francisco’s Union Square and Singapore’s Raffles Place
  • Annual travel budget to visit either office
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About hud

Platform for building RL environments and evals

HUD (YC W25) is developing agentic evals and RL environments for Computer Use Agents (CUAs) that browse the web for frontier AI labs. Our CUA Evals framework is the first comprehensive evaluation tool for CUAs. People don't actually know if AI agents are working reliably. To make AI agents work in the real world, we need detailed evals for a huge range of tasks. We're backed by Y Combinator, and work closely with frontier AI labs to provide agent evaluation and training infrastructure at scale.

artificial-intelligencereinforcement-learning
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