Senior/Staff AI-Native Software Engineer — Remote

Outlier

Ciudad de Mendoza

Remote

ARS 184,482,000 - 276,723,000

Full time

3 days ago
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Benefits offered by this job

Remote work
USD payment
Learning platforms access
English classes
Referral program

Job summary

Darwoft is seeking a Senior/Staff Software Engineer to join an AI-native transaction platform project. You will work remotely across LATAM, shaping architectural decisions, ensuring reliability, and accelerating delivery with AI coding agents.

This role emphasizes building production software in a fast-growing environment with strong engineering standards. The ideal candidate will own complex systems, navigate large codebases, and collaborate with product leadership to translate business

Qualifications

  • Experience building and operating production software systems.
  • Strong fundamentals in architecture, system design, debugging, testing, and maintainability.
  • Experience with large or complex existing codebases.

Responsibilities

  • Navigate and evolve a large production codebase.
  • Design and implement new product capabilities across a complex SaaS platform.
  • Make pragmatic architectural decisions as the product scales.
  • Identify technical debt and reliability issues and improve observability.
  • Leverage AI coding agents (Claude Code, Codex, Copilot) throughout the lifecycle.
  • Build and evolve backend services, data models, and workflows.
  • Strengthen automated testing and production readiness.
  • Improve development workflows and tooling.

Skills

Production software
Architecture design
Large codebases
Backend / full-stack
Web apps & SaaS
APIs & distributed systems
Cloud & CI/CD

Tools

Claude Code
OpenAI Codex
Cursor
GitHub Copilot

Job description

Darwoft is seeking a Senior/Staff Software Engineer to join an AI-native transaction platform project. You will work remotely across LATAM, shaping architectural decisions, ensuring reliability, and accelerating delivery with AI coding agents.

This role emphasizes building production software in a fast-growing environment with strong engineering standards. The ideal candidate will own complex systems, navigate large codebases, and collaborate with product leadership to translate business

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