• Design, develop, and maintain backend services using Java, Spring Boot, and modern architectural patterns • Build intuitive, performant front-end experiences using React, Angular, or Vue • Lead technical design discussions and contribute to architectural decisions • Integrate AI/ML capabilities into applications (e.g., embeddings, LLM-powered features, intelligent automation) • Use AI-assisted development tools to accelerate coding, testing, documentation, and refactoring • Mentor junior engineers and promote engineering best practices across the team • Collaborate closely with product, data, and AI teams to deliver end-to-end solutions • Contribute to CI/CD pipelines, cloud deployments, observability, and performance optimization • Ensure security, scalability, and maintainability across the full stack

• Develop and maintain backend services using Java, Spring Boot, and related frameworks • Build responsive, user-friendly front-end features using modern JavaScript/TypeScript frameworks (e.g., React, Angular, or Vue) • Participate in design discussions, code reviews, and sprint ceremonies • Collaborate with cross-functional team members to deliver high-quality features end-to-end • Write clean, maintainable, and testable code following engineering best practices • Leverage AI-assisted tools to accelerate development and improve code quality • Troubleshoot, debug, and optimize applications for performance and reliability • Contribute to CI/CD pipelines, cloud deployments, and automation efforts

• Lead the technical design and architecture of full‑stack Java applications using Spring Boot and modern front‑end frameworks • Drive the integration of AI/ML capabilities into enterprise systems, including LLM‑powered features, intelligent automation, and AI‑assisted workflows • Provide hands‑on development while guiding the team in best practices, code quality, and modern engineering standards • Mentor and coach engineers across multiple levels, fostering growth and technical excellence • Collaborate closely with product, data, and AI teams to define technical strategy and deliver end‑to‑end solutions • Oversee system performance, scalability, observability, and security across the stack • Champion the use of AI‑assisted engineering tools to improve velocity, reliability, and developer experience • Facilitate technical discussions with clients, translating complex concepts into clear recommendations • Contribute to CI/CD pipelines, cloud architecture, and DevOps practices to ensure smooth, reliable deployments

• Collaborate with partners and stakeholders to learn about our customers’ business needs and key challenges. • Design, code, test, deploy, and monitor sophisticated processes in a cloud based architecture • Effectively develop and maintain CI/CD automation using tools such as GitHub Actions, Jenkins, Azure DevOps, etc. • Implement Infrastructure as Code (IaC) using tools like Terraform • Analyze data, existing systems and processes independently to effectively identify bottlenecks and opportunities for improvements. • Mentor and learn from your peers, foster continuous learning of new technology within your team and organization. • Help in interviews and provide quality and timely feedback. • Proactively understand customer/business problems you try to solve with these tasks, and your design and implementation can actually solve these problems in an effective, reliable, and sustainable way. • Lead a scrum team with proper agile development practices, and ensure the high quality and timely development and delivery that solve target problems effectively. • Build reliable, secure, high quality, efficient, and easy to use big data platforms and tools at scale for supporting all kinds of data transferring, ingestion, processing, serving, delivery, consumption, and data governance needs.