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
Software Engineer owning Forus' compute platform (EKS/Kubernetes), data layer (Postgres, OpenSearch, BigQuery), cloud cost optimization, reliability (SLOs, observability), and IaC primitives in a regulated healthcare environment. Requires production Kubernetes at scale, deep AWS/Terraform expertise, and database migration experience.
Salary not listed
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Salary not listed
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