• Design, maintain and tune high performance code. • Apply appropriate approach, best-practice and correct separation of presentation code from business logic. • Implement and support build processes and test environments. • Provide project and task estimates. • Responsible for developing, enhancing, modifying and/or maintaining applications. • Deeply understand requirements and expertly handle Analysis, Design, Coding, Testing and Quality processes.

• Lead the end-to-end design, development, and deployment of enterprise-grade Java applications • Architect and implement scalable, secure, and high-performing solutions preferably on Azure Cloud • Drive the integration of AI/ML capabilities (e.g., APIs, models, automation) into business applications • Collaborate with cross-functional stakeholders to translate business requirements into technical solutions • Provide technical leadership, mentorship, and guidance to a team of developers • Establish and enforce coding standards, best practices, and development frameworks • Oversee code reviews, performance optimization, and system troubleshooting • Manage project timelines, delivery commitments, and resource planning • Ensure CI/CD pipelines, DevOps practices, and cloud-native development standards are followed • Stay updated with emerging technologies, particularly in AI, cloud computing, and microservices architecture

• Design, develop, and maintain scalable and high-performance Java applications • Build and enhance microservices architectures using Spring Boot and related frameworks • Integrate AI/ML and Generative AI capabilities (e.g., OpenAI, Azure AI services, LLM APIs) into applications • Develop intelligent features such as chatbots, recommendation engines, or automation workflows • Deploy and manage applications within Azure Cloud environments • Provide technical guidance, mentorship, and support to junior developers or small teams • Participate in code reviews and enforce best practices in coding, security, and performance • Collaborate with cross-functional teams (Product, QA, DevOps) to deliver end-to-end solutions • Troubleshoot, debug, and optimize applications and AI integrations • Contribute to CI/CD pipelines and DevOps processes • Stay updated on emerging trends in AI, cloud computing, and backend engineering

• Drive the technical standards for the Backend across our consumer domain • Lead Backend engineers with tech roadmaps, architecture decisions, and feature development and release cycle • Mentor junior developers • Contribute to scaling up Backend engineers in multiple squads • Bringing great talents on board by conducting technical interviews • Design, build and maintain features for the domain applications • Provide technical leadership and manage dependencies • Conduct design and code reviews • Help team members with technical blockers • Continuously discover, evaluate, and implement new technologies to maximize efficiency • Participate in architecture and design discussions • Participate strongly in building the technical roadmap • Help improving engineering standards, tooling, and processes