Softgic
1883 - Senior Full Stack Software Engineer
Skills
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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