• Led the Software Development Life Cycle (SDLC) from requirements gathering to deployment, ensuring project alignment with business objectives, focusing on backend system performance and scalability. • Developed Microservices, ensuring high-performance and efficient server-side applications. Designed and implemented RESTful APIs for seamless communication between distributed services. • Infrastructure Provisioning with Terraform Enterprise, automating cloud infrastructure deployments and scaling environments to meet application needs. • Implemented messaging solutions with Kafka for asynchronous and reliable communication between distributed microservices. • Designed and developed microservices architecture for modular, scalable, and maintainable applications. • Managed data storage solutions using databases such as DynamoDB, Snowflake, and PostgreSQL for efficient data retrieval and storage. • Deployed serverless applications using AWS Lambda and Azure Functions, focusing on auto-scaling and pay-as-you-go models to optimize costs and performance. • System Design: Designed and architected scalable backend systems with an emphasis on high availability, fault tolerance, and distributed computing. • Implemented CI/CD pipelines with Jenkins, ensuring rapid, automated software releases and improving development efficiency and reliability. • Utilized Terraform for managing infrastructure as code, provisioning and scaling environments in AWS for high availability and performance.

• Developed robust and scalable applications using Core Java, ensuring high performance and reliability. • Developed and integrated GraphQL APIs to provide flexible data querying and efficient communication between client and server. • Implemented Spring Framework with IoC and Dependency Injection (DI) for modular and maintainable code. • Applied Aspect-Oriented Programming (AOP) to separate cross-cutting concerns and improve code maintainability. • Handled Spring Transaction Management to ensure data consistency and integrity across multiple operations. • Deployed and managed applications on AWS, including API Gateway, EC2, S3, Lambda, RDS, and Autoscaling for scalability and high availability. • Integrated Apache Kafka for reliable and scalable message brokering. • Managed relational databases using OracleSQL, MySQL and NoSQL databases with MongoDB to handle diverse data requirements. • Managed and optimized data warehousing solutions with Snowflake, enabling efficient data storage, retrieval, and analytics. • Designed and developed RESTful APIs for seamless communication between client and server-side applications. • Utilized Spring Boot for rapid application development and microservices architecture implementation. • Created responsive web interfaces using HTML5, CSS3, and Tailwind CSS for enhanced user experience. • Implemented TypeScript for robust and type-safe front-end development. • Optimized React components by leveraging hooks (useState, useEffect) and Redux middleware (Thunk, Saga) to manage asynchronous actions and side effects. • Set up and scheduled jobs on Linux systems for routine tasks like backups, log rotation, and system maintenance, reducing manual intervention and improving reliability. • Built server-side applications using NodeJS and ExpressJS for efficient handling of asynchronous operations.

• Utilized Hibernate ORM and Data Access Objects (DAO) for efficient data persistence and seamless interaction with relational databases. • Integrated GraphQL APIs to provide flexible querying and efficient data communication between distributed services. • Leveraged IBM FileNet Architecture/Platform to manage and optimize enterprise content, ensuring secure and efficient handling of unstructured data. • Managed concurrent processing using multithreading and asynchronous patterns in Golang to enhance application responsiveness and throughput. • Handled transaction management ensuring data integrity across multiple operations in a distributed environment. • Integrated Apache Kafka for reliable and scalable message brokering, ensuring efficient communication across microservices. • Managed databases such as PostgreSQL, MySQL, and Snowflake, handling large-scale data processing and storage for high-performance backend systems. • Designed and developed RESTful APIs for seamless communication between client-facing applications and backend services. • Provisioned and managed infrastructure using Terraform Enterprise, automating deployment and ensuring consistency across development, testing, and production environments. • Orchestrated containerized services using Kubernetes on Azure Kubernetes Service (AKS) and AWS ECS, ensuring scalability and fault tolerance for cloud-native backend applications.

• Designed and implemented robust backend applications using Golang, ensuring high performance, scalability, and reliability in distributed systems. • Managed databases using PostgreSQL and AWS RDS, writing optimized SQL queries for efficient data handling, ensuring high availability and fault tolerance for critical applications. • Developed and integrated RESTful APIs to enable seamless communication between microservices and external systems, ensuring secure and efficient data exchange. • Deployed serverless functions with AWS Lambda, enhancing application scalability and reducing infrastructure costs through event-driven architecture. • Utilized AWS S3 for scalable and secure storage, managing data backups, and retrievals for large-scale backend systems. • Configured and maintained AWS EC2 instances for hosting and running backend applications, ensuring optimal performance and security. • Implemented message queues with RabbitMQ for reliable and asynchronous communication between distributed services, ensuring resilience and high throughput. • Automated infrastructure provisioning and management using AWS CloudFormation and Terraform, enabling Infrastructure as Code (IaC) for consistent and repeatable deployments. • Monitored application performance and system health using Prometheus and Grafana, ensuring proactive detection of issues and enabling quick resolution. • Utilized Git for version control, ensuring efficient collaboration within the development team and managing changes in a distributed codebase. • Conducted unit testing and integration testing with JUnit, ensuring backend services are reliable and minimizing bugs in production. • Automated build and deployment processes using Jenkins, implementing CI/CD pipelines for streamlined development and rapid releases. • Deployed containerized applications using Docker, ensuring consistency across development, testing, and production environments.

• Designed and implemented robust backend applications using Golang, ensuring high performance, scalability, and reliability in distributed systems. • Managed databases using PostgreSQL and AWS RDS, writing optimized SQL queries for efficient data handling, ensuring high availability and fault tolerance for critical applications. • Developed and integrated RESTful APIs to enable seamless communication between microservices and external systems, ensuring secure and efficient data exchange. • Deployed serverless functions with AWS Lambda, enhancing application scalability and reducing infrastructure costs through event-driven architecture. • Utilized AWS S3 for scalable and secure storage, managing data backups, and retrievals for large-scale backend systems. • Configured and maintained AWS EC2 instances for hosting and running backend applications, ensuring optimal performance and security. • Implemented message queues with RabbitMQ for reliable and asynchronous communication between distributed services, ensuring resilience and high throughput. • Automated infrastructure provisioning and management using AWS CloudFormation and Terraform, enabling Infrastructure as Code (IaC) for consistent and repeatable deployments. • Monitored application performance and system health using Prometheus and Grafana, ensuring proactive detection of issues and enabling quick resolution. • Utilized Git for version control, ensuring efficient collaboration within the development team and managing changes in a distributed codebase. • Conducted unit testing and integration testing with JUnit, ensuring backend services are reliable and minimizing bugs in production. • Automated build and deployment processes using Jenkins, implementing CI/CD pipelines for streamlined development and rapid releases. • Deployed containerized applications using Docker, ensuring consistency across development, testing, and production environments.