5 hours ago
Responsibilities
- Own production uptime, latency, provisioning speed, infrastructure cost, and incident response for core platform services.
- Build and maintain AWS infrastructure using Terraform, Kubernetes/EKS, Helm, Docker, EC2, CodeBuild, ECR, S3, IAM, networking, and secrets management.
- Design and improve scalable backend and platform systems, 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.
- Build reliable CI/CD, release automation, environment management, and deployment workflows.
- Write maintainable code to automate systems, improve backend services, and create internal tooling.
Requirements
- Experience owning production cloud infrastructure for a high-availability, user-facing platform, including uptime, performance, deployment safety, and cost.
- Deep AWS infrastructure and containerized-systems experience; Terraform, Kubernetes/EKS, Docker, EC2, CodeBuild, ECR, S3, IAM, load balancers, networking, and secrets-management experience are strongly preferred.
- Experience operating CI/CD, environment management, release automation, observability, alerting, and incident-response systems.
- Strong backend engineering judgment across service architecture, APIs, databases, asynchronous systems, queues, scaling limits, and production failure modes.
- Ability to write clean, maintainable code and apply software engineering judgment across product architecture, infrastructure, backend systems, and developer workflows.
- Experience with data-heavy, ML/AI, workflow, marketplace, developer-tools, enterprise, bursty-workload, long-running-job, sandboxed-execution, distributed-worker, or high-concurrency systems is a plus.
- Experience reducing cloud spend or building internal platforms and tools is a plus.
Benefits
- Full-time employment with offices in San Francisco or Singapore and remote work available with 70–80% overlap with either location’s time zone.
- Support for relocation and visas for strong full-time candidates to the US or Singapore.
- Competitive compensation.
- 100% covered medical, dental, and vision insurance through Blue Shield of CA for US employees.
- Lunch and dinner for in-office employees.
- Company-wide holiday break from Christmas Eve through New Year’s Day, in addition to PTO and paid holidays.
- Equinox membership, 401k, and commuter benefits for US employees.
- Unlimited practical access to tokens for ChatGPT, Claude Code, Cursor, and similar tools.
- Rolling application timeline with two technical interviews and a 2–3 day work trial.
About HUD
HUD builds infrastructure for generating reinforcement-learning training data and evaluations for frontier AI agents, plus a marketplace where labs can buy and sell these assets. Its platform is used by frontier labs, Fortune 500 companies, and startups to create RL environments and post‑training datasets for RFT. Founded in 2025 and based in San Francisco, the company is privately held and a Y Combinator W25 alum.