Post Job Free
Sign in

Software Engineer Spring Boot

Location:
Jersey City, NJ
Salary:
60000
Posted:
June 24, 2025

Contact this candidate

Resume:

Kanaka Lakshmi Prasanna Pasupuleti

**************@*****.*** USA +1-551-***-**** LinkedIn

SUMMARY

Software Engineer with 3 years of experience in Java, specializing in client-centric applications using Spring Boot, Hibernate and Flask for backend development, and React.js with Redux for front-end solutions. Proficient in HTML, CSS, and JavaScript, with hands-on experience in AWS and both Windows and Linux environments. Strong analytical skills and a solid foundation in data structures, adaptable to diverse work cultures and focused on delivering innovative solutions. SKILLS

Back-end Technologies: Java, Spring Boot, Spring Cloud, Microservices, WebFlux, Hibernate, J2EE, JDBC, Spring Security, JDK, Micronaut, Node.js, Express.js, Python, ASP.NET, Flask, MVC Framework, SOAP, RESTful APIs, Maven, Bash Script, GraphQL, gRPC, WebSockets, API Gatewat, OpenAPI, Event-Driven Front-end Technologies: React.js, Angular 17, TypeScript, Redux Toolkit, Next.js, JavaScript (ES6+), HTML5, CSS3, Tailwind CSS, Bootstrap, Material-UI, AJAX

Database Technologies: MySQL, MongoDB, PostgreSQL, SQL Server, Oracle, Firebase, Cassandra Tools and Technologies: Git, Visual Studio Code, Docker, Kubernetes, Jenkins, Apache Tomcat, Nginx, Swagger, Postman, GitLab, Eclipse, IntelliJ IDEA, JUnit, Mockito, Log4j, Splunk, JIRA,Tableau, Gradle, OAuth Cloud and DevOps: AWS (Lambda, ECS, EKS, API Gateway, S3, RDS, DynamoDB, CLoudformation), Microsoft Azure (AKS, Functions), Docker, Kubernetes, Helm, Terraform, ArgoCD, GitHub Actions, GitLab, CI/CD, Jenkins, ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, Grafana, OpenTelemetry, Jaeger Security and Testing: OAuth2, JWT, Keycloak, OpenID Connect, SAML, Spring Security, SonarQube, Zero Trust Security, JUnit 5, TestNG, Mockito, Cucumber, Pact (Contract Testing), Selenium, Cypress, Postman, REST Assured PROFESSIONAL EXPERIENCE

Software Engineer, Dell Technologies 08/2024 - Present USA

• Designed and developed a highly scalable AI-driven chatbot using Java, Spring Boot, and Microservices, automating customer support and query resolution with Natural Language Processing (NLP) capabilities.

• Engineered an interactive UI with HTML5, CSS3, and JavaScript (ES6), ensuring seamless user interactions, crossplatform compatibility, and an intuitive UX/UI design.

• Integrated a PostgreSQL database to manage and analyze complex user interactions, implementing Hibernate ORM for efficient data access, ACID compliance, and secure information storage.

• Optimized cloud infrastructure by deploying the chatbot on AWS (EC2, S3, RDS), achieving 99.9% uptime, high availability, and cost-effective scaling.

• Developed and secured RESTful APIs, enabling high-performance backend communication with OAuth2 and JWT-based authentication for enhanced data protection and seamless access control.

• Automated CI/CD pipelines using Docker, Kubernetes, and Jenkins, reducing deployment time by 30% and improving system reliability through continuous integration and automated testing.

• Implemented comprehensive unit and integration testing with JUnit and Mockito, ensuring robust test coverage and maintaining software integrity across microservices. Software Engineer, DXC Technology 08/2020 - 12/2022 India

• Designed and developed a high-performance Order Orchestration System using Java, J2EE (EJB, Servlets, JSP), and Spring Boot, ensuring scalability, reliability, and seamless transaction processing.

• Architected microservices-based solutions leveraging Spring Cloud (API Gateway, Eureka, Config Server) to enable service discovery, fault tolerance, and dynamic load balancing, enhancing system resilience.

• Implemented RESTful microservices with Spring Boot and Spring MVC, optimizing API communication, modular development, and response times, improving system efficiency by 35%.

• Containerized and automated deployments using Docker and Kubernetes, integrating Jenkins CI/CD pipelines and UNIX Shell scripting, reducing deployment time by 40% and streamlining release cycles.

• Enhanced cloud infrastructure with AWS services, integrating EC2 for scalable compute power, S3 for secure data storage, and RDS (MySQL) for high-availability database management, ensuring 99.9% system uptime.

• Developed and deployed serverless order processing workflows using AWS Lambda, reducing infrastructure overhead while securing API traffic with Amazon API Gateway for low-latency request handling.

• Strengthened system reliability by implementing JUnit and Mockito for unit and integration testing, achieving 95% code coverage and reducing post-deployment defects by 60%. EDUCATION

Master of Science, Pace University 01/2023 - 12/2024 New York, USA Data Science



Contact this candidate