Technical Lead - Python

Description

Pre-requisites :

• Bachelor's degree (Engineering, Computer Science Preferable)
• Primary, hands-on work experience as a Python Developer.
• 510 years of relevant experience in Python development, automation, or backend engineering.
• Proven experience in : Guiding and reviewing team members & Mentoring junior engineers.
• Excellent communication and stakeholder management skills.
  

• Design, develop, test, and maintain Python-based automation bots integrated with existing enterprise systems to eliminate manual and labor-intensive processes.
• Lead the design and implementation of backend services, including APIs, microservices, and asynchronous task processing.
• Evaluate and implement latest technologies and tools to continuously improve performance, scalability, and reliability of current solutions.
• Develop and execute unit test cases using PyTest to ensure high code quality and reliability.
• Guide, review, and mentor Python developers and bot developers, providing technical leadership and best practices.
• Manage delivery, performance, and technical growth of the automation development team.
• Collaborate with cross-functional teams using Agile development methodologies.
• Ensure proper version control practices using GitHub.
• Support deployment and maintenance of applications on Cloud platforms such as AWS and Microsoft Azure.
  

Technical Skill Set

• Strong expertise in Python programming with real-world production experience.
• Good understanding of Cloud Application Platforms : Amazon Web Services (AWS)/Microsoft Azure
• Familiarity with : CI/CD pipelines, Containerization (Docker preferred), Agile/Scrum development processes
• Experience with relational databases (SQL, stored procedures) and non-relational (NoSQL) databases.
• Experience developing : RESTful APIs, Microservices, Asynchronous/background task systems
• Strong understanding of Python code quality tools : PEP8, flake8, black, linters, formatters
• Proficiency in GitHub or similar version control tools.
• Strong understanding of message queuing concepts, including producers/consumers, topics, queues, persistence, and fault-tolerant communication using ActiveMQ.