Senior Software Engineer, Infrastructure

Job not on LinkedIn

🕒 September 23

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 23%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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hud (YC W25)

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

Artificial Intelligence • SaaS • B2B

hud is an evaluation platform designed for AI agents, facilitating the assessment and iteration of these agents across a variety of environments and tasks. With tools that cater to both researchers and professionals, hud allows users to rapidly evaluate their AI models and integrate existing tools while ensuring swift results through the orchestration of concurrent machine evaluations. Its flexible architecture supports customized tasks and diverse workflows, making it a robust solution for enhancing AI performance and capabilities.

📋 Description

• 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 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 • Build reliable CI/CD, release automation, environment management, and deployment workflows • Write code to automate systems, improve backend services, and create internal tooling • Support HUD’s infrastructure for RL training data, evaluation systems, and its marketplace for frontier AI labs

🎯 Requirements

• Experience owning production cloud infrastructure for a high-availability, user-facing platform, including uptime, performance, deployment safety, and cost • Deep experience with AWS infrastructure and containerized systems • Experience with Terraform, Kubernetes/EKS, Docker, EC2, CodeBuild, ECR, S3, IAM, load balancers, networking, and secrets management strongly preferred • Experience operating CI/CD, environment management, release automation, observability, alerting, and incident response systems • Strong backend engineering judgment, including service architecture, APIs, databases, async 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 • Technical aptitude, ownership, and learning potential prioritized over years of experience • Ability to work hours with 70–80% overlap with either San Francisco or Singapore time zones

🏖️ Benefits

• 100% covered top-of-the-line medical, dental, and vision from Blue Shield of CA (US employees) • Lunch and dinner when you’re in the office (in-office employees) • Company-wide holiday break (Christmas Eve to New Year’s Day) on top of PTO and paid holidays • Equinox membership (US employees) • 401k (US employees) • Commuter benefits (US employees) • Unlimited access to tokens for ChatGPT, Claude Code, Cursor, etc. • Support for relocation and visas for strong full-time candidates to the US or Singapore

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