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Full-Stack Developer (TypeScript/Next.js • Cloud)

Posted 8 days ago

About Vidrush

One of the hottest startups at the intersection of AI and the Creator Economy. Vidrush building the “lovable” way to produce videos with AI—turning a single prompt and a few assets into a polished, publish-ready edit.

  • Small team, big ownership; you ship directly to users

  • Bias to action; crisp PRs; lightweight specs; measurable outcomes

  • Thoughtful about DX: types, tests where it counts, clean CI

The role

Own end-to-end product slices—UI, APIs, data, and deployment. You’ll design clean interfaces, build reliable backend flows, and keep things fast and observable in production.

What you’ll do

  • Ship features across the stack from spec to prod

  • Design simple, explicit APIs and data models

  • Raise the bar on quality (tests, types, CI) and developer experience

  • Monitor performance/costs; debug production issues quickly

  • Collaborate directly with founders and users; iterate rapidly

What you’ll bring (most important)

  • Strong TypeScript and React/Next.js experience (server + client)

  • Solid Node.js backend fundamentals and production cloud/serverless experience on AWS

  • Practical data skills (document or relational), clear API design, robust error handling

  • Experience with modern auth and billing platforms (Stripe or similar), including complex subscription and usage-based models

  • Excellent problem-solving: decompose ambiguity, reason from first principles, ship pragmatic solutions under constraints

  • AI-accelerated development: you actively use tools like Cursor/Copilot/LLMs for scaffolding, tests, refactors, and debugging—without outsourcing your judgment

  • Best practices: write maintainable, well-tested code; favor clear, simple designs

Nice to have

  • Web-based video editor/player experience

  • Remotion (programmatic video) exposure

  • SST or similar IaC experience

  • Strong AWS skills

  • Observability patterns and perf/cost tuning for cloud apps

  • Vercel/edge runtime familiarity; SSR/ISR performance tuning


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