Senior AI-Native Software Engineer — Remote Contractor

Seedtrust

Buenos Aires

À distance

ARS 181 747 000 - 272 620 000

Plein temps

Il y a 40 heures
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Avantages offerts par ce poste

Contractor agreement with payment in
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Résumé du poste

Darwoft in LATAM is seeking a Senior/Staff Software Engineer to join a remote, AI-native software platform for M&A SaaS. You will navigate a large codebase, design features, and balance speed with reliability while using AI coding agents to accelerate delivery.

The role emphasizes production software, architecture, and modern cloud practices; you will own critical components and collaborate with product leadership to deliver scalable solutions.

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 systems
Architecture
System design
Debugging
Testing
Maintainability
Large codebases
Backend or full‑stack
Web applications
SaaS products
APIs
Data modeling
Distributed systems
Relational databases
CI/CD
Cloud environments
Production operations
Independent work
Product mindset

Outils

Claude Code
OpenAI Codex
Cursor
GitHub Copilot
Windsurf

Description du poste

Darwoft in LATAM is seeking a Senior/Staff Software Engineer to join a remote, AI-native software platform for M&A SaaS. You will navigate a large codebase, design features, and balance speed with reliability while using AI coding agents to accelerate delivery.

The role emphasizes production software, architecture, and modern cloud practices; you will own critical components and collaborate with product leadership to deliver scalable solutions.

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