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Founding Engineer, Infrastructure

Cloudglue· Engineering
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Hybrid (San Francisco, CA, US)$120k - $250k + equityFull-timePosted 8mo ago

About the role

Cloudglue is building the video context layer for AI. We are a YC-backed startup creating developer APIs to turn video and audio into structured, searchable data. This founding infrastructure role focuses on designing and scaling backend systems powering video processing pipelines, search/retrieval, and async job orchestration.

Responsibilities

  • Distributed video processing and async job orchestration
  • Search and retrieval systems across video, audio, and text
  • ML inference serving and model pipeline orchestration
  • Storage, indexing, and compute infrastructure for large media collections
  • Distributed systems: design and operate async, fault-tolerant job execution systems that process thousands of hours of video reliably
  • Search & retrieval: build and optimize search infrastructure across video, audio, and text - including vector search, re-ranking, and hierarchical retrieval
  • ML infrastructure: own the serving and orchestration layer for ML models (vision, audio, language) in production
  • Performance & reliability: profile and optimize throughput, latency, and cost across large-scale video workloads
  • Production ownership: build systems that are observable, well-tested, and SOC2-compatible. You’ll own what you ship.

Qualifications

  • 3+ years of backend or infrastructure engineering experience
  • Track record designing and operating scalable distributed systems
  • Strong proficiency in Python, Go, and/or TypeScript
  • Ability to reason about performance, cost, and reliability tradeoffs

Skills

Required:Backend/Infrastructure engineeringDistributed systemsPythonGo
Nice to have:TypeScript
Last updated Aug 26, 2026. Interested? Apply on the company site.
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About Cloudglue

Developer APIs to let your AI/LLM understand videos and audio.

Cloudglue APIs (https://cloudglue.dev) makes it easy to transform video and audio into structured data for your LLM/RAG/AI application. Our developer-friendly APIs makes it easy to integrate video chat into your AI assistant with minimal heavy-lifting.

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