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Lead Python Developer

Remote in Mexico
Python.Web& 8 others
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We are delivering cloud-ready Python platforms and are seeking a Lead Python Developer to steer technical direction and execution. You will coordinate backend work, align ReactJS and API integration, and ensure reliable AWS deployments with strong security practices—apply now.

Responsibilities
  • Architect scalable backend services and core system components
  • Coordinate with team members to ensure high-quality software delivery
  • Conduct code reviews and coach the team on coding standards
  • Improve system performance and resolve technical problems quickly
  • Manage integrations with third-party APIs and external services
  • Maintain clear technical documentation for existing and new features
  • Promote best practices throughout the software development lifecycle
  • Drive continuous improvement of processes and team technical skills
Requirements
  • Substantial software development experience of at least 5 years in relevant roles
  • Team leadership exposure of 1 year managing and guiding development teams
  • Advanced proficiency in Python to build and maintain production applications
  • Experience with ReactJS for UI development and backend integration
  • Hands-on experience with Amazon Web Services (AWS) to deploy and manage cloud applications
  • Strong knowledge of database design, maintenance, and optimization techniques
  • Competence with Git to support version control and collaborative delivery
  • Practical experience with Python web frameworks such as Django or Flask
  • Understanding of Python web server configuration and deployment processes
  • Knowledge of software engineering security best practices
  • Experience implementing authentication and authorization for users
  • Familiarity with Agile or Scrum software development methodologies
  • Excellent English communication skills (B2+ Upper-Intermediate or higher), spoken and written
Nice to have
  • Experience with AI development or architecture, such as implementing machine learning models, embedding AI-driven features, or building scalable AI infrastructure