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Java Full Stack Developer

Location:
Princeton, TX, 75407
Salary:
80000
Posted:
November 18, 2025

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Resume:

Trivikram Grandhi

+1-816-***-**** • *********.*@************.*** • LinkedIn

PROFESSIONAL SUMMARY

Java Full Stack Developer with 5+ years of experience delivering enterprise applications, cloud-native microservices, and secure distributed systems across banking and digital domains. Skilled in building scalable backends with Spring Boot, Spring Cloud, Hibernate, and Node.js, and dynamic frontends with React.js, Angular, and Next.js. Expertise in event-driven systems (Kafka, RabbitMQ), secure authentication

(OAuth2.0, JWT), and database optimization (MySQL, PostgreSQL, Oracle, MongoDB). Experienced in deploying on AWS and Azure with CI/CD pipelines using GitHub Actions, Jenkins, and Terraform. Adept at leveraging AI-assisted tools like GitHub Copilot to accelerate delivery, reduce defects, and strengthen compliance with security and regulatory standards. EDUCATION

Master's in Information Technology & Management University of Wisconsin, Milwaukee, Wisconsin TECHNICAL SKILLS

Project Management & Methodologies: Software Development Lifecycle, Agile, Scrum, TDD, Jira Programming Languages: C, C++, Java, J2EE (Servlets, JSP, EJB, JMS), SQL, PL/SQL, Kotlin, DSA(Data Structures & Alogorithms) Front End: HTML5, CSS3, JavaScript, TypeScript, JSON, XML, React.js, Redux, Next.js, Angular, RESTful API Backend: Spring Boot, Spring REST, Spring MVC, Spring Cloud, Spring Data JPA, Hibernate, Node.js, Express.js Security & Compliance: Spring Security, OAuth2.0, JWT, Role-Based Access Control (RBAC) Database & Message Brokers: MySQL, PostgreSQL, Oracle, MongoDB, Cassandra, Firebase, Apache Kafka, RabbitMQ Cloud: AWS (API Gateway, Lambda, DynamoDB, EC2, S3, CloudFormation, CloudWatch, EKS, SNS, SQS), Azure CI/CD and DevOps Tools: Maven, Gradle, Git, Bitbucket, Jenkins, Docker, Kubernetes, Terraform, GitHub Actions, GitLab, Ansible, Grafana Tools & Technologies: IntelliJ IDEA, Eclipse, Swagger, Postman, JUnit, Mockito, React Testing Library AI & Developer Productivity: GitHub Copilot, ChatGPT API Integration, AI-Assisted Code Generation, Test Case Automation EXPERIENCE

JPMorgan Chase & Co. Texas, USA Oct 2024 – Present Java Full Stack Developer

Designed and developed large-scale, multi-tiered, distributed software applications, tools, systems, and services using Object-Oriented Design (OOD) and distributed programming principles.

Engineered scalable microservices with Spring Boot, Spring MVC, Kotlin and RESTful APIs, and integrated them with React.js client dashboards, reducing transaction processing latency by 22% and increasing customer self-service adoption by 28% within six months

Implemented secure authentication and authorization workflows with Spring Security and OAuth2.0, strengthening compliance with financial regulatory standards and reducing unauthorized access incidents by 15%.

Built event-driven pipelines with Apache Kafka to process over 2 million daily fraud detection events, leveraging GenAI models for pattern recognition that cut false positives by 18% and enabling security teams to respond within seconds instead of minutes.

Deployed containerized applications on AWS EC2 and EKS using Terraform and CloudFormation, enhanced by GenAI-assisted infrastructure-as-code templates, improving deployment consistency and cutting infrastructure provisioning time by 40%.

Embedded end-to-end CI/CD pipelines using GitHub Actions, automating unit and integration testing with JUnit and React Testing Library, reducing manual intervention, optimizing reliability of deployments, and shortening the release cycle by 25%.

Leveraged GitHub Copilot and AI-assisted code generation to deliver new application features more efficiently, achieving a 15% acceleration in development speed while ensuring code quality through consistent test coverage and peer reviews. Fulcrum Digital India Oct 2021 – Aug 2023

Software Engineer (Java Full Stack)

Developed and delivered customer-facing applications using Spring Boot, Spring REST, Kotlin and React.js, improving user engagement and reducing page response time by 20%.

Crafted RESTful APIs integrated with relational data via Spring Data JPA, enabling seamless transactions and data retrieval time by 30%.

Accomplished authentication workflows with JSON Web Token (JWT) to manage secure user sessions, providing controlled access for more than 5,000 active users and reducing authentication-related incidents in production.

Architected event-driven workflows using Apache Kafka to handle high-volume data exchange between distributed microservices, which reduced system downtime by 15% and strengthened fault tolerance in transaction-heavy modules.

Incorporated monitoring solutions with CloudWatch and Grafana by creating real-time performance dashboards, allowing quicker identification of latency issues and cutting average issue resolution time by 30%.

Automated build and deployment pipelines using GitLab CI and Jenkins, which standardized release processes, Enhanced deployment reliability across environments, and increased delivery frequency by 35%.

Collaborated in Scrum teams using Jira to track sprints and deliverables, while testing services with Mockito and validating APIs with Postman, which increased defect detection in QA by 22% and ensured on-time delivery across client projects. Zensar Technologies India Jan 2020 – Sept 2021

Java Full Stack Developer

Created enterprise applications with Spring MVC, Spring Cloud, Hibernate, and RESTful APIs, reducing response time by 18% and improving performance across multiple client projects.

Generated reusable UI modules with Angular and TypeScript, which improved development efficiency and lowered front-end defect rates by 20% during UAT.

Established secure messaging with RabbitMQ and optimized queries in PostgreSQL, improving system reliability and cutting report generation time by 25%.

Released applications on Azure using Docker, with automated pipelines in Jenkins and Bitbucket; applied Test-Driven Development

(TDD) with JUnit to raise code coverage to 85%, increasing release frequency by 30% while reducing production defects.



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