• End-to-end product development • Write clean, reusable, and maintainable code • Write tests to validate the correctness of your code thoroughly • Actively contribute to the identification of the problems and their solutions • Collaborate in a cross-functional team to ensure the project meets business objectives and compliance standards

• Manage and support the development, testing, and deployment of Python applications • Handle bug fixes, code reviews, and feature development across multiple projects • Communicate effectively with internal teams and external stakeholders across time zones • Maintain accurate records of code documentation, version control, and deployment logs • Use relevant tools such as Python, Django or Flask, Git, Docker, and cloud platforms • Support the wider team with API integrations, database management, and technical problem-solving • Identify opportunities to improve code quality, performance, and system reliability

• Collaborate with cross-functional teams to identify software requirements. • Write clean, efficient, and maintainable code following best practices and coding standards. • Perform unit and integration testing to ensure software quality. • Develop software solutions using Agile methodologies. • Work with product owners, architects, and other developers to understand project requirements and translate them into technical specifications. • Design, develop, and maintain RESTful APIs. • Work with SQL databases (Oracle). • Create and maintain documentation for software development projects. • Troubleshoot and debug software applications to resolve issues. • Participate in code reviews and provide constructive feedback to improve code quality. • Stay up to date with emerging trends and technologies in software development.

• Design and deliver scalable, reliable, and high-performing backend capabilities supporting complex enterprise workflows and operational systems. • Apply an AI-first engineering mindset to rapidly prototype, iterate, validate, and deliver solutions efficiently. • Leverage AI-augmented workflows, automation, observability, and testing practices to improve software quality, accelerate delivery, reduce manual effort, and enhance operational reliability across the SDLC. • Support progressive delivery practices, controlled rollouts, production stability, and continuous engineering improvement. • Collaborate across Product, SRE, QA, frontend, mobile, and cross-functional engineering teams to deliver high-quality customer-focused solutions. • Strengthen engineering excellence through reusable knowledge sharing, documentation, ownership practices, and continuous improvement initiatives.