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Job Title: Founding Infrastructure & Reliability Engineer
Location | On-Site — San Francisco, CA
Time Zone | PST
Role Overview:
We are seeking a Founding Infrastructure & Reliability Engineer to join the earliest technical team at a fast-moving AI video infrastructure startup. The company's first product turns prompts and documents into whiteboard-style explainer videos in seconds, with a broader vision to make video generation fast, cheap, and programmable enough for AI to use video anywhere it uses text today. This is one of three founding engineering hires, focused on making the core product reliable and scalable as usage grows. The ideal candidate likes owning production systems, debugging ambiguous failures, and making complex workflows feel predictable to users. The work spans job execution, queueing, failure recovery, observability, cost efficiency, and deployment.
Key Responsibilities:
Improve job execution reliability, queueing behavior, failure recovery, and production observability
Design systems that scale expensive workflows without making the product feel slow or unpredictable to users
Build deployment, monitoring, and incident-response workflows appropriate for an early but serious production system
Improve cost efficiency across compute, storage, networking, and third-party services
Create internal tools that make debugging and operating the system easier for the whole team
Partner across the team to connect product requirements with robust technical systems
Required Qualifications:
Experience operating production infrastructure or high-throughput backend systems
Strong debugging ability across services, networking, storage, and cloud environments
Familiarity with queues, object storage, databases, observability tooling, deployment automation, and cost/performance tradeoffs
Comfort taking ownership of ambiguous reliability problems, even without a clear root cause
Practical judgment on when to automate, simplify, or build the smallest robust solution
Comfortable using AI tools to move faster, while using personal judgment to define the problem and drive the solution
Must be willing to work on-site in San Francisco, CA
Preferred Qualifications:
Experience communicating infrastructure tradeoffs to non-infrastructure engineers
History of taking ownership of outcomes, not just assigned tickets
Comfort making infrastructure decisions independently, without a fully-defined spec
Tools & Technology:
Queueing systems and object storage
Databases and observability tooling
Cloud infrastructure and deployment automation
AI-assisted development tools
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