Staff AI Engineer - AI-Native Backend Architect (Remote)

Factored

Municipio de Rincón de los Sauces

À distance

ARS 182 437 000 - 273 656 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Remote work
USD payment
Public holidays in Argentina
English classes
Referral program
Learning platforms

Résumé du poste

Darwoft is seeking a Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) to lead production software initiatives across a large SaaS platform. You will work with Claude Code, Codex, and other AI agents to accelerate delivery while maintaining architecture and reliability.

The role is 100% remote from LATAM and targets a senior-level contractor engagement. Ideal candidates are highly technical, product-focused, with ownership and strong experience in large codebases, APIs, and cloud

Qualifications

  • Strong professional experience building and operating production software systems.
  • Excellent software engineering fundamentals, including architecture, system design, debugging, testing, and maintainability.
  • Experience working with large or complex existing codebases.
  • Strong backend or full-stack engineering experience using modern programming languages and frameworks.
  • Experience building modern web applications and SaaS products.
  • Strong understanding of APIs, application architecture, integrations, data modeling, and distributed systems.
  • Experience with relational databases and production data environments.
  • Strong understanding of automated testing and modern software development practices.
  • Familiarity with cloud environments, CI/CD pipelines, deployments, and production operations.
  • Ability to reason through technical trade-offs and make pragmatic architectural decisions.
  • Strong ownership and ability to work independently in an evolving product environment.
  • Product mindset: you understand not only how to build something, but also why it should be built.

Responsabilités

  • Navigate, understand, and evolve a large existing production codebase.
  • Design and implement new product capabilities across a complex SaaS platform.
  • Make pragmatic architectural and system design decisions as the product continues to scale.
  • Identify technical debt, architectural risks, reliability issues, and opportunities for improvement.
  • Use Claude Code, Codex, Cursor, Copilot, or similar AI coding agents extensively throughout the software development lifecycle.
  • Leverage AI agents to explore codebases, design implementations, generate and refactor code, debug issues, write tests, and accelerate delivery.
  • Build and evolve backend services, APIs, integrations, data models, and application workflows.
  • Contribute across the application stack when needed.
  • Strengthen automated testing, maintainability, observability, reliability, and production readiness.
  • Improve development workflows, tooling, automation, and engineering practices.
  • Troubleshoot complex issues across application, data, and infrastructure layers.
  • Balance development speed with software quality and long-term maintainability.
  • Work closely with product leadership to translate business problems into effective technical solutions.
  • Help a small engineering team achieve significantly greater development leverage through AI-assisted engineering.

Connaissances

Production software systems
Architecture
System design
Debugging
Testing
Maintainability
Cloud environments
CI/CD
Independent work
Ownership
Product mindset

Outils

Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf

Description du poste

Darwoft is seeking a Senior/Staff Software Engineer (AI-Native/Claude Code/Codex) to lead production software initiatives across a large SaaS platform. You will work with Claude Code, Codex, and other AI agents to accelerate delivery while maintaining architecture and reliability.

The role is 100% remote from LATAM and targets a senior-level contractor engagement. Ideal candidates are highly technical, product-focused, with ownership and strong experience in large codebases, APIs, and cloud

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