Job Title

Required Knowledge and Experience Experience in designing and building distributed and modular architectures (microservices, API-first) CS, IT, EC Engineering. 18+ years of experience (or ME/MTech), including 10+ years of experience in (high/low-level) customer-facing products architecture and design A track record of delivering results even when requirements are under-specified. Hands-on experience as full stack developer using ReactJS, JavaScript or Typescript, and modern f frameworks (e.g., NodeJS, Express.js, Next.js) and Python Experience design solutions, RESTful API services (including Open API Spec, Swagger) and performance-tuning large-scale apps Ability to lead design and development and mentor junior engineers. Past experience in designing and developing solutions for distributed and microservices architecture. Deep knowledge of Object-Oriented programing and engineering principles like SOLID Hands-on experience with relational databases (e.g., PostgreSQL ,MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB, Elasticsearch) Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security Strong experience in developing solutions on AWS Platform leveraging AWS services Hands-on experience in cloud-native application deployment/debugging (either of AWS. Good to have Azure and GCP) Experience implementing DevOps CI/CD tooling (e.g., Azure DevOps, GitHub, GitLab, CodeDeploy, CircleCI, Jenkins/Travis etc.), Observability platforms Proven expertise in integrating AI/ML models and services into production workflows. Knowledge on application security and secure design practices is a must Ability to advocate and implement best practices and standard solutions Ability to manage own learning and contribute to functional knowledge building Ability to work both independently and help other team members Ability to influence stakeholders and technical leadership for technology and product development strategy. Collaborate with the Product Manager/Owner and the squad to draft quarterly OKRs and engineering KPIs Strong oral and written communication skills.Responsibilities may include the following and other duties may be assigned: Architect and oversee the design of distributed software systems that seamlessly incorporate AI capabilities. Strategize to leverage AI to accelerate product development and spearhead AI adoption across SDLC. Lead end-to-end development, from ideation to deployment, ensuring the integration of AI models and services into scalable production environments. Collaborate closely with product, engineering, and data science teams to define system architecture and technical roadmaps. Guide best practices for cloud-native development and deployment using AWS and related services. Champion the adoption of modern frontend and backend technologies (ReactJS, NodeJS) within distributed, AI-powered applications with earlier working experince in Java or .Net. Evaluate, design, and implement Agentic AI solutions as a service, focusing on autonomy, orchestration, and real-time decision-making. Mentor and coach engineers, fostering a culture of innovation, technical excellence, and continuous improvement. Stay at the forefront of AI and distributed computing trends, proactively recommending new technologies and approaches. Architecting integration of AI/ML models and services into production workflows. Demonstrated experience leading technical teams and influencing product development direction at Senior Principal / Architect level. Excellent problem-solving, communication, and interpersonal skills.