1978 Senior Full Stack Software Engineer (Python | React | AWS)

We are looking for a Senior Full Stack Software Engineer with 5 years of experience building scalable production-grade applications. The ideal candidate has strong backend expertise in Python frontend experience with React and TypeScript and hands-on knowledge of AWS cloud-native architectures.

This role requires technical ownership strong problem-solving skills and the ability to collaborate with Product and Data teams in dynamic environments.

• 5 years of professional software engineering experience.
  

• Strong proficiency in Python preferably FastAPI.
  

• Experience developing cloud-native applications on AWS including ECS Fargate Aurora PostgreSQL and Redis.
  

• Solid knowledge of PostgreSQL database design query optimization and performance tuning.
  

• Experience with React and TypeScript for frontend development.
  

• Infrastructure as Code (IaC) experience using AWS CDK (preferred) or Terraform.
  

• Familiarity with AI-assisted development tools such as Cursor GitHub Copilot or similar.
  

• Experience designing deploying and maintaining scalable applications.
  

• Strong ownership analytical thinking communication and cross-functional collaboration skills.
  

• Ability to work independently in ambiguous or fast-changing environments.
  

• Bachelors degree in Computer Science Software Engineering or equivalent practical experience.
  

• Design develop and maintain scalable backend services using Python and FastAPI.
  

• Build and enhance frontend applications using React and TypeScript.
  

• Own software features end-to-end from technical design to deployment and maintenance.
  

• Design and optimize PostgreSQL databases schemas and queries.
  

• Develop and maintain cloud-native solutions using AWS services.
  

• Implement and manage infrastructure using AWS CDK or Terraform.
  

• Collaborate with Product and Data teams to translate business requirements into technical solutions.
  

• Participate in code reviews architecture discussions testing and continuous improvement.
  

• Ensure application performance security reliability and code quality.
  

• Leverage AI-powered development tools to accelerate coding debugging refactoring and problem-solving.