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# Platform Engineer

- **Company:** HUD
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** 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, Uptime, Service-Oriented Architecture, Software Engineering, Load Balancing, Autoscaling, Delivery Pipeline, Caching, Backend, Kubernetes, Terraform, Marketplace, Docker
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d14daabbda95ca07

## About the Role

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.

## 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


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