1883 - Senior Full Stack Software Engineer

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.