Driving job poster growth and engagement at LinkedIn by architecting high QPS backend entry points and onboarding flows. Engineering efforts focus on the member eligibility engine and real-time banner services that dynamically target potential employers, ensuring low latency response times for millions of top of funnel acquisition events. These systems serve as the front door for employers, balancing complex targeting logic with the performance requirements of a high traffic ecosystem.

Designing and operating nearline notification pipelines using Apache Beam, Flink, and Kafka to re-engage users at high intent moments such as abandoned drafts and lifecycle milestones. These event driven systems power automated, high volume outreach across email, push, and in-app channels via LinkedIn’s Air Traffic Control system. By leveraging stream processing, these pipelines turn real time user actions into meaningful engagement opportunities that help employers complete their hiring journey.

Contributed to the development of the Webex Experience Management (XM) microservice, enabling organizations to send surveys and collect customer feedback through robust, scalable microservices architecture.

Utilized Java, Spring Boot, and Maven for backend development, ensuring modularity, maintainability, and scalability of the solution.

Designed and implemented RESTful APIs for Questions, Answers, and Reports, facilitating seamless integration and data flow between the microservice and the MongoDB database.

Ensured data consistency, reliability, and high availability by applying best practices in database design and API development.

Leveraged Docker for containerization, facilitating consistent testing and deployment across multiple environments (CI/CD pipelines).

Employed Agile methodologies in collaboration with cross-functional teams to iterate rapidly, ensure code quality, and meet evolving business requirements.

Successfully rolled out the solution across global regions, including the US, EU, Canada, Japan, Australia, and New Zealand, onboarding 150+ organizations and enhancing user experience and customer satisfaction.

Contributed to the Log Analytics tool, a web application for publishing failure metrics, optimizing SQL queries and improving code structure to significantly enhance performance and scalability.

Implemented concurrent SQL reads from the AWS RDS (Relational Database Service), reducing data retrieval time from over 30 minutes to a few seconds, ensuring better performance and user experience.

Added new features including live order status tracking and business-friendly error messages, improving the overall functionality and usability of the tool.

Worked on the IMEI project, an initiative for Amazon.in sellers to enter serial numbers for items they sell, integrating backend services and UI development for seamless user interaction.

Developed mobile and web applications, implementing serial number validation checks and redesigning API calls for improved data validation and efficiency.

Collaborated with senior engineers to document system design changes, ensuring proper technical documentation and smooth implementation of architectural modifications.