Remote Data Solutions Lead - SQL/Azure & AI-Driven MVPs

Lavendo, Inc.

Ciudad de Mendoza

À distance

ARS 53 224 000 - 127 737 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Fully remote LATAM contractor
40 hours per week
Core hours in US time zones
End-to-end product ownership
AI-first delivery with tests/CI/flags
Start in early November

Résumé du poste

Lavendo, Inc. is seeking a senior full-stack contractor to join a remote team building workflow software for a live product. You will work on the server side (Azure SQL, API) and build React/TypeScript screens, while AI coding tools draft specs and tests.

You’ll guide AI output and merge decisions, delivering four to five features per sprint with careful review. Ideal candidates have 4+ years of full-stack production experience, excellent English, and a track record delivering fixed-scope

Qualifications

  • 4+ years building full-stack web applications in production.
  • Experience in codebases you didn't write and learning conventions fast.
  • Hands-on with workflow software, approvals, queues or state machines.
  • Ability to design schemas and migrations in SQL on Azure.

Responsabilités

  • Join a team building a live product and add new workflow features.
  • Contribute on server side from Azure DB up through the API, and build React/TypeScript UI.
  • Review AI-generated specs, tests, migrations and merges line-by-line.
  • Own end-to-end a product area like task engine or legacy migrations.

Connaissances

Full-stack development
React
TypeScript
SQL on Azure
Code review
AI-assisted coding tools
English communication
Fixed-scope sprint delivery

Formation

4+ years of production web apps

Outils

React
TypeScript
Azure SQL
CI/CD tooling

Description du poste

Lavendo, Inc. is seeking a senior full-stack contractor to join a remote team building workflow software for a live product. You will work on the server side (Azure SQL, API) and build React/TypeScript screens, while AI coding tools draft specs and tests.

You’ll guide AI output and merge decisions, delivering four to five features per sprint with careful review. Ideal candidates have 4+ years of full-stack production experience, excellent English, and a track record delivering fixed-scope

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