Supriya Manduva
Jersey City
Summary
- Software Engineer around 5 years of experience delivering scalable backend and full-stack applications across enterprise and financial domains.
- Strong expertise in Java (8/11/17), Spring Boot, Spring Cloud, and microservices architecture, building high-performance RESTful APIs.
- Proven experience designing event-driven systems using Apache Kafka, messaging queues, and asynchronous processing.
- Hands-on experience with AWS cloud services including ECS, EC2, S3, RDS, Lambda, IAM, and CloudWatch, enabling cloud-native deployments.
- Skilled in containerization and orchestration using Docker, Kubernetes, Helm, and Terraform. Strong full-stack background with React, Angular, TypeScript, HTML5, and CSS3, integrating UI layers with backend services.
- Extensive experience working with relational and NoSQL databases: PostgreSQL, Oracle, SQL Server, Cassandra, MongoDB, DynamoDB, and Redis.
- Expertise in CI/CD pipelines and DevOps practices using Jenkins, Git, GitHub Actions, Maven, and Harness. Experienced in monitoring, logging, and production support, leveraging ELK Stack, Splunk, and cloud monitoring tools.
- Collaborative team player with strong experience in Agile/Scrum environments, working across distributed teams to deliver reliable, secure solutions.
Overview
6
6
years of professional experience
1
1
Certification
Work History
Software Engineer
CITI
Jersey City
03.2025 - Current
- Designed and re-architected enterprise Java-based microservices using Java 11, Spring Boot, Spring Cloud, and Hibernate, enabling scalable, cloud-native financial platforms across distributed Citi environments.
- Defined and implemented RESTful APIs including Config, Notification, Push, Callback, and Bulk Processing APIs, enabling seamless integration between AQUA upstream systems and downstream platforms via Kafka, S3, and GLRS.
- Implemented event-driven architecture using Apache Kafka (Spring Kafka producers/consumers) to support asynchronous notifications, high-throughput ingestion, and real-time processing across clusters.
- Designed and built control-log and retry frameworks to track job execution, detect partial or failed runs, and automatically re-trigger dependent APIs, improving fault tolerance and recovery.
- Optimized data persistence and caching layers using PostgreSQL, Cassandra, and Redis, reducing response times for high-volume financial workflows.
- Developed internal React.js dashboards and UI components to visualize API control logs, job status, and configuration data, improving operational visibility.
- Containerized and deployed microservices using Docker and Helm on AWS ECS, enabling consistent, scalable runtime environments.
- Automated CI/CD pipelines using Jenkins, GitHub Actions, and Harness, streamlining build, test, and deployment processes.
- Integrated AWS services including S3, ECS, RDS, IAM, and CloudWatch to support secure storage, monitoring, and audit requirements in regulated environments.
- Implemented centralized logging and monitoring using ELK Stack and Splunk, enabling proactive issue detection and faster production incident resolution.
- Collaborated with cross-functional teams in Agile/Scrum environments and mentored junior developers through code reviews, improving code quality and team productivity.
Software Engineer
Wells Fargo
Fremont
01.2023 - 03.2025
- Designed and enhanced full-stack enterprise applications using Java (7/8/11), Spring Boot, Spring MVC, and Spring Cloud, enabling scalable microservices and integration with downstream banking systems.
- Built and exposed RESTful APIs to support customer-facing and internal platforms, ensuring secure communication between backend microservices and frontend applications.
- Developed responsive single-page applications (SPAs) using Angular (2/4/6), AngularJS, HTML5, CSS3, JavaScript, and TypeScript, improving UI performance and maintainability.
- Integrated React.js components with backend services, enabling efficient data retrieval, state management, and real-time updates for dashboards and internal portals.
- Implemented event-driven architecture using Apache Kafka, enabling high-throughput, low-latency data streaming and asynchronous processing across distributed systems.
- Designed and optimized relational and NoSQL databases using PostgreSQL, Oracle, Cassandra, MongoDB, DynamoDB, and Redis, ensuring efficient data storage and query performance.
- Implemented Redis caching strategies to reduce database load and improve response times for high-traffic applications.
- Deployed and managed applications on AWS cloud infrastructure using EC2, S3, RDS, Lambda, ELB, IAM, and CloudWatch, ensuring scalability, availability, and security.
- Automated build, test, and deployment workflows by implementing CI/CD pipelines using Jenkins, Git, Maven, Docker, and Kubernetes, improving release efficiency and system stability.
- Implemented authentication and authorization using Spring Security and OAuth 2.0, securing REST APIs and frontend applications.
- Developed and executed unit and integration tests using JUnit and Mockito, and collaborated in Agile/Scrum environments through sprint planning, code reviews, and cross-team coordination.
Java developer
The Home Depot
07.2020 - 12.2021
- Designed, developed, and maintained enterprise-grade Java/J2EE applications using Core Java, Spring Boot, Spring MVC, and Hibernate, supporting large-scale retail and inventory management systems.
- Implemented microservices architecture with Spring Boot–based RESTful services, enabling modular, scalable, and loosely coupled backend components consumed by multiple client applications.
- Built full-stack web applications using AngularJS, Angular, HTML5, CSS3, JavaScript, and TypeScript, integrating responsive UIs with backend REST APIs.
- Developed a real-time inventory management system using multithreaded Java, efficiently processing concurrent stock updates across multiple store locations and improving throughput and data accuracy.
- Integrated Apache Kafka into microservices to enable asynchronous, event-driven communication, improving scalability, fault tolerance, and data consistency across distributed services.
- Designed and maintained scalable data architectures for retail and inventory platforms, leveraging PostgreSQL, Oracle, SQL Server, MongoDB, Cassandra, and DynamoDB to support high-throughput transactional and reporting use cases.
- Architected and supported scalable cloud-based deployments on AWS, configuring compute, storage, networking, and auto-scaling components (EC2, S3, RDS, DynamoDB, Route53, ELB, Auto Scaling) to handle fluctuating retail traffic and ensure fault-tolerant operations.
- Implemented ETL and analytics workflows using Amazon Redshift and Redshift Spectrum, enabling efficient processing of large-scale retail and transactional data stored in S3.
- Built and deployed containerized microservices using Docker, Kubernetes, and Helm, ensuring consistent deployments across development, test, and production environments.
- Utilized AWS Lambda and AWS SQS for serverless processing and queue-based communication, enabling reliable message delivery and decoupling of microservices.
- Automated CI/CD pipelines using Git, Jenkins, Maven, and Docker, and developed unit and integration tests using JUnit and Mockito, while collaborating in Agile/Scrum environments for continuous delivery and production support.
Education
Master of Science - Computer And Information Sciences
University of North Texas
Denton, TX12-2023
Skills
- Java
- C#
- Python
- Nodejs
- Spring Boot
- Spring MVC
- Django
- Flask
- REST APIs
- JavaScript
- TypeScript
- Redux
- PostgreSQL
- MySQL
- Microsoft SQL Server
- MongoDB
- DynamoDB
- Redis
- AWS
- Microsoft Azure
- Docker
- Kubernetes
- Jenkins
- Git
- GitHub Actions
- Terraform
- Maven
- Mockito
- Selenium
- PyTest
- SonarQube
- Integration testing
- End-to-End Testing
- Bash
Certification
Java SE 8 Programmer I (1Z0-808), Oracle Certification
Timeline
Software Engineer
CITI
03.2025 - Current
Software Engineer
Wells Fargo
01.2023 - 03.2025
Java developer
The Home Depot
07.2020 - 12.2021
Master of Science - Computer And Information Sciences
University of North Texas