MAIN OBJECTIVE OF ROLE: To design, develop, test, and maintain software applications with the help of AI based code generation tools, working closely with the Software Engineering Chapter to continuously optimize the development and unit testing process for greater efficiency, and with cross-functional teams to deliver high-quality software and streamline workflows with AI-driven automation, while overseeing and peer reviewing any completed works as part of release process. KEY RESPONSIBILITIES:

• Designs, develops, and maintains scalable and high-performance software applications. This involves translating functional and non-functional requirements into fit for purpose technical designs and solutions.
• Develops solutions based on ‘Microservice/Micro frontend’ architecture adopting functional programming styles and follows ‘DevOps/GitOps’ practices.
• Designs and develops solutions for hybrid cloud, distributed, scalable and multi-region deployments ensuring that the solution is traceable and observable.
• Utilizes AI-powered tools for code generation, debugging, and unit testing automation.
• Translates business requirements into potential technical solutions based on technical design and best practice coding principles.
• Collaborates with relevant stake holders in the technical design process by contributing to the analysis of technical application requirements.
• Supports design and architecture components by observing solution development practices and collaborates with members of the cross functional team to identify areas of inefficiency and propose solutions.
• Ensures solution performance, business edge cases and security related considerations are mitigated and resolved while developing software and prior to release.
• Debugs complex code and identifies potential issues adhering to design documents to optimize the efficiency and performance. This involves analysis of data and evaluation of identifiable factors and potential solutions.
• Peers reviews all code with a focus on good coding principles and validating best practices.
• Automates unit tests and carry out testing independently. This involves troubleshooting issues and fixes defects that are considered moderate to high in complexity.
• Collaborates with the QA team to develop AI-driven testing frameworks for automated and intelligent test case generation.
• Stays updated with emerging AI technologies and integrate best practices into the development lifecycle.

QUALIFICATIONS:

• Bachelor’s Degree (3+ years)
• Information Technology, Computer Science, or related field
• Fluent in English
• 5 - 7 years

• Designs, develops, and maintains scalable and high-performance software applications. This involves translating functional and non-functional requirements into fit for purpose technical designs and solutions.
• Develops solutions based on ‘Microservice/Micro frontend’ architecture adopting functional programming styles and follows ‘DevOps/GitOps’ practices.
• Designs and develops solutions for hybrid cloud, distributed, scalable and multi-region deployments ensuring that the solution is traceable and observable.
• Utilizes AI-powered tools for code generation, debugging, and unit testing automation.
• Translates business requirements into potential technical solutions based on technical design and best practice coding principles.
• Collaborates with relevant stake holders in the technical design process by contributing to the analysis of technical application requirements.
• Supports design and architecture components by observing solution development practices and collaborates with members of the cross functional team to identify areas of inefficiency and propose solutions.
• Ensures solution performance, business edge cases and security related considerations are mitigated and resolved while developing software and prior to release.
• Debugs complex code and identifies potential issues adhering to design documents to optimize the efficiency and performance. This involves analysis of data and evaluation of identifiable factors and potential solutions.
• Peers reviews all code with a focus on good coding principles and validating best practices.
• Automates unit tests and carry out testing independently. This involves troubleshooting issues and fixes defects that are considered moderate to high in complexity.
• Collaborates with the QA team to develop AI-driven testing frameworks for automated and intelligent test case generation.
• Stays updated with emerging AI technologies and integrate best practices into the development lifecycle