Remote AI-Driven Full-Stack Engineer (Azure)

Post Oak Group; Santa Fe Capital; A distancia; ARS 85.158.000 - 170.316.000; Jornada completa

Descripción de la vacante

Post Oak Group is hiring for a remote product studio client to build and extend a live workflow product. You will own one module end to end, from Azure SQL and API to React/TypeScript UI, with AI tools guiding specs, tests and migrations.

The contract is fully remote from LATAM, about 40 hours weekly, with core hours in US time zones. You’ll deliver four to five features per sprint, using reviews and feature flags to keep quality high.

Formación

• 4+ years building full-stack web applications.
• Experience in learning unfamiliar codebases before making changes.
• Hands-on work on workflow software with multi-role data views, approvals, queues, or state machines and audit/history.
• React, TypeScript and SQL on Azure, including schema design and migrations.
• Daily use of AI coding tools on production work, with tests and CI behind it.
• Clear written and spoken English.
• Experience delivering in fixed-scope sprints with branches, code reviews and feature flags.

Responsabilidades

• Build features for a live product in two-week sprints.
• Work on server-side from Azure SQL up through the API.
• Develop React and TypeScript UI screens.
• Review AI-generated specs, tests and migrations and decide on merges.
• Maintain data access controls for multi-role views and audit/history.

Conocimientos

Full-stack development

React

TypeScript

Azure SQL

SQL on Azure

AI coding tools

English proficiency

Sprint delivery

Code review

Workflow software

Data access controls

Herramientas

Cursor AI

Claude Code

CI/CD pipelines

Git

SQL

Azure

Descripción del empleo

Post Oak Group is hiring for a remote product studio client to build and extend a live workflow product. You will own one module end to end, from Azure SQL and API to React/TypeScript UI, with AI tools guiding specs, tests and migrations.

The contract is fully remote from LATAM, about 40 hours weekly, with core hours in US time zones. You’ll deliver four to five features per sprint, using reviews and feature flags to keep quality high.