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hudhudSan Francisco, CA

Platform Engineer

Platform Engineer owning reliability, scale, performance, and developer experience of core infrastructure and backend systems at HUD. Requires strong production AWS/Kubernetes experience plus backend engineering judgment on services, queues, databases, and APIs.

Salary not listed
On-siteDevOps / SRE

About the role

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

Requirements

  • 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
  • Built or operated CI/CD, environment management, release automation, observability, alerting, and incident response systems
  • 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

Nice-to-Haves

  • 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

Skills

AWSTerraformKubernetesEKSDockerHelmEC2CodebuildEcrS3IAMCI/CDObservabilityBackend Engineering

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