We're looking for a Senior Platform Engineer (3-month initial contract, open to extend) to join our distributed team at Graphy. You'll help build infrastructure and tooling around two core products: our AI API + SDK (build the foundation) and web app (maintain legacy system).

We're managing both a legacy system serving 300k users and a rapidly evolving AI API + SDK. We need your help to transition to modern, maintainable infrastructure while ensuring reliability at scale.

What we look for

Must-haves:

• Someone who can own infrastructure problems end-to-end.
• A problem solver who evaluates trade-offs and proposes solutions.
• Experience designing infrastructure that product engineers can understand and maintain long-term.

Nice-to-haves:

• Modern tooling expertise: Vercel, PlanetScale, Langfuse, serverless patterns.
• AI infrastructure experience (LLM observability tools etc).
• Experience with infrastructure-as-code tools like SST, Pulumi or similar.

What you’ll do

SDK + AI API (primary focus)

• Lay the foundation for a robust, scalable infrastructure.
• Build a new CI pipeline from scratch:
  • Fast deploys: <5 min ideally (a must for hotfixes).
  • True preview branches for e2e testing before merge.
  • Explore partial / incremental deployments.
  • Reliable blue-green deployments (we have this for the web app but want to level up).
• Design for scale across Vercel / serverless platforms (we’re exploring Vercel functions and fluid compute but are flexible).
• Build resilience by designing fallback and failover paths (e.g. if Vercel or OpenAI goes down → use AWS Lambda or Anthropic).
• Safe and reliable migrations: help build team confidence around database migrations, rollbacks and releases.