Platform Engineer

HUD
San Francisco, CA, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Application Release Automation Cloud Computing Databases Continuous Integration Identity and Access Management Key Management
+12 more
Uptime Service-Oriented Architecture Software Engineering Load Balancing Autoscaling Delivery Pipeline Caching Backend Kubernetes Terraform Marketplace Docker

Job description

We’re looking for a platform engineer who can own the reliability, scale, performance, and developer experience of HUD’s core infrastructure and backend systems.

This is not a pure infrastructure role. The right person has strong production infra experience, but also thinks like a backend engineer: they can reason about service architecture, queues, databases, APIs, deployment safety, performance bottlenecks, and how product requirements translate into resilient systems. You’ll work across AWS, Kubernetes, Terraform, CI/CD, observability, and backend services to make HUD faster, more reliable, cheaper to run, and easier for engineers to build on., * 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

Requirements

You may be a good fit if you:

  • Have owned production cloud infrastructure for a high-availability, user-facing platform, with responsibility for uptime, performance, deployment safety, and cost
  • Have deep experience with AWS infrastructure and containerized systems; experience with tools like 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
  • Have strong backend engineering judgment and can reason about service architecture, APIs, databases, async systems, queues, scaling limits, and production failure modes
  • Can write clean, maintainable code and apply strong software engineering judgment across product architecture, infrastructure, backend systems, and developer workflows

Strong candidates may also have:

  • Experience operating infrastructure for data-heavy, ML/AI, workflow, marketplace, developer-tools, or enterprise platforms
  • Experience designing systems for bursty workloads, long-running jobs, sandboxed execution, distributed workers, or high-concurrency services
  • Experience reducing cloud spend through better architecture, autoscaling, workload placement, caching, cleanup systems, or observability
  • Experience building internal platforms or tools that make engineers faster without hiding too much complexity

We prioritize technical aptitude, ownership, and learning potential over years of experience.

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Commuter assistance
  • Paid holidays, * Competitive compensation based on experience and location
  • 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA
  • Lunch and dinner when you’re in the office
  • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays
  • Other perks including an Equinox membership, 401k, and commuter benefits
  • Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc. *By unlimited, we mean no one on our token usage leaderboard has ever hit a limit. So we have no idea what the limit is.

About the company

HUD is building infrastructure to create RL training data and evals for frontier AI agents, as well as a marketplace to sell these to frontier labs through the HUD marketplace. Our platform is used by frontier labs, Fortune 500 companies, and startups. We’ve raised $16M from top VCs and were YC W25.

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