Python Developer; Airlines

Looking for local but can be remote and must work CST hours. First preference is local.

• Development experience on AWS platform
• Containerization tool:
  Docker

• Experience in Automation

Design, develop, document, test, and debug new and existing software systems and/or applications for market sale or large-scale proprietary software for internal use. Serve as technical expert on development projects. Participate in full development life cycle including requirements analysis and design. Write technical specifications based on conceptual design and stated business requirements. Support, maintain, and document software functionality. Identify and evaluate new technologies for implementation.

Analyze code to find causes of errors and revise programs as needed. Participate in software design meetings and analyze user needs to determine technical requirements. Consult with end user to prototype, refine, test, and debug programs to meet needs.

• Leads, designs, implements, deploys, supports, and optimizes backend services.
• Support a large-scale enterprise solutions and applications using AWS services.
• Analyze and interpret complex data and related systems and provide efficient technical solutions.
• Develop and maintain standards to codes and maintain an effective project life cycle on all processes.
• Coordinate with cross functional teams like architects, platform engineers, other developers and business to build processing procedures.
• Perform root cause analysis on production issues and perform routine monitoring on and provide support to environments.
• Help create functional specifications, technical designs and working with business process area owners.
• Implement industry best practices code and configuration for production and non-production environments in an highly automated environment.
• Provides technical advice, effort estimate, impact analysis.
• Provides timely project status and issue reporting to management.

• Programming Language:
  Over 8 years in Python leveraging pandas, boto
  3.
• Development experience on AWS platform.
• Containerization tool:
  Docker.
• Observability tools like Cloud Watch, Dynatrace, Data Dog.
• CI/CD and devOps pipelines and related process.