Platform Engineer

hud • United States

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AI Summary

We're looking for a platform engineer to own the reliability, scale, performance, and developer experience of HUD's core infrastructure and backend systems. This role requires strong production infra experience, backend engineering judgment, and the ability to reason about service architecture, APIs, databases, and async systems. The ideal candidate will have experience with AWS infrastructure, containerized systems, and CI/CD, environment management, release automation, observability, alerting, and incident response systems.

Key Highlights

Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services

Design and improve backend and platform systems for scale, including capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths

Build reliable CI/CD, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk

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Key Responsibilities

Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services

Design and improve backend and platform systems for scale, including capacity planning, autoscaling, queueing, backpressure, cleanup jobs, retries, and rollback paths

Build reliable CI/CD, release automation, environment management, and deployment workflows that improve developer productivity and reduce production risk

Technical Skills Required

Amazon Web Services Kubernetes Terraform

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Benefits & Perks

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

Unlimited* access to tokens for ChatGPT, Claude Code, Cursor, etc.

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Nice to 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

Job Description

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.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.

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