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1883 - Senior Full Stack Software Engineer

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Remote

1883 - Senior Full Stack Software Engineer

Softgic

1883 - Senior Full Stack Software Engineer

Skills

ReactTypescriptPythonPostgreSQLRedisAIAWSGitHubFastAPITerraform

15 days ago

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Important information


Contract type:

Permanent

Location:

Lima, Peru

Work mode:

Remote

Published on:

6 October 2026

What they need


We are looking for a Senior Full Stack Software Engineer with 5+ years of professional experience to build and evolve high-impact, cloud-native applications. This role requires strong Backend expertise in Python , Frontend experience with React/TypeScript , and the ability to take ownership of solutions from design through production.

Requisitos

  • 5+ years of professional software engineering experience building production applications.
  • Strong experience with Python ; FastAPI is highly preferred.
  • Experience building cloud-native applications on AWS .
  • Knowledge of ECS Fargate, Aurora PostgreSQL, and Redis .
  • Solid PostgreSQL experience, including schema design and query optimization.
  • Experience with React and TypeScript .
  • Infrastructure as Code experience with AWS CDK or Terraform .
  • Familiarity with AI/LLM-based development tools and openness to AI-first development workflows.
  • Experience or ability to thrive in startup/scale-up environments with ambiguity and evolving requirements.
  • Strong ownership, system/workflow thinking, problem-solving, collaboration, and communication skills .
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field , or equivalent practical experience.

Responsibilities

  • Design, build, and maintain Backend services using Python , preferably FastAPI .
  • Develop Frontend features using React and TypeScript .
  • Own features end-to-end, from technical design and implementation to optimization and production.
  • Design and optimize PostgreSQL schemas, queries, and performance.
  • Build and operate cloud-native solutions on AWS , including ECS Fargate, Aurora PostgreSQL, and Redis .
  • Implement Infrastructure as Code using AWS CDK or Terraform .
  • Collaborate closely with Product and Data teams and participate in code reviews and technical discussions.
  • Continuously improve code quality, system reliability, maintainability, and developer experience.
  • Use AI-assisted development tools such as Cursor, GitHub Copilot, or similar , leveraging LLMs for coding, debugging, refactoring, and technical exploration.

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