Java Full-Stack Developer with Cloud Expertise

Sai Sriya Ponugoti

Email: ******************@*****.***

Mobile: +1-937-***-****

Java Full Stack Developer

PROFESSIONAL SUMMARY:

Java Full Stack Developer with 5 years of experience in system design, application development using Java, Spring Boot, and Reactjs, ensuring operational stability within a large corporate environment.

Developed and maintained code in Java and Spring Boot, utilizing debugging skills and database querying languages, while demonstrating ability to code in multiple languages across SDLC.

Engineered RESTful APIs, integrating secure communication between backends and React-based SPAs, with emerging knowledge of cloud technologies and agile methodologies like CI/CD.

Built interactive frontends using React, implementing reusable components and responsive design patterns, while applying experience across the whole Software Development Life Cycle.

Refactored monolithic systems into modular microservices and React frontends, optimizing frontend performance and maintainability, with exposure to application resiliency and security.

Designed asynchronous messaging solutions using Apache Kafka and RabbitMQ for real-time data ingestion, inter-service event propagation, and decoupled cloud-native architecture patterns.

Leveraged AWS services including EC2, S3, RDS, Lambda, and CloudWatch to deploy full-stack applications with fault tolerance, auto-scaling, and centralized monitoring for production stability.

Implemented CI/CD pipelines using Jenkins, Maven, GitHub Actions to automate builds, run unit/integration tests, and push production-ready containers, improving team velocity.

Developed automated testing suites with JUnit, Selenium, and React Testing Library, achieving over 90% code coverage and reducing post-release bugs through test-driven development.

Built event-driven microservices using GCP Cloud Functions and Pub/Sub, improving backend responsiveness and enabling real-time event processing in cloud-native service environments.

Created data pipelines using GCP Dataflow and BigQuery for large-scale analytics reporting and integrated real-time behavioral insights into business dashboards using cloud architecture.

Integrated third-party APIs using REST and SOAP protocols, applying JSON and XML transformations to support backward compatibility, secure data exchange, and reliable integration.

Optimized SQL and NoSQL databases including MySQL, PostgreSQL, and MongoDB; implemented schema design, indexing strategies, and performance tuning for transactional consistency.

Worked with Agile teams including QA, product owners, and designers to deliver sprint-based features, resolve cross-functional blockers, and enhance product quality through continuous delivery.

Delivered React frontends with Firebase Authentication, Realtime DB, and GCS integration, enabling seamless login, secure data sync, and mobile/web access for end users across platforms.

TECHNICAL SKILLS:

Programming Languages - Java, JavaScript, TypeScript, SQL, HTML5, CSS3, SCSS

Frontend Technologies - React, Redux, React Router, React Query, Material UI, Bootstrap, Axios, Styled-Components, Angular

Backend & API Development - Spring Boot, Spring MVC, Spring Security, RESTful Web Services, Node.js

Cloud Platforms - Amazon Web Services (EC2, S3, RDS, Lambda, CloudWatch, IAM), Google Cloud Platform (Cloud Functions, Pub/Sub, Cloud Run, BigQuery, Dataflow, Firebase)

DevOps & CI/CD Tools - Jenkins, GitHub Actions, Maven, Docker, Kubernetes, AWS ECS, GCP GKE, CI/CD

Databases - MySQL, PostgreSQL, MongoDB, Firebase Realtime DB

Testing Frameworks & Tools - JUnit, Mockito, Selenium, Postman, React Testing Library, Jest

Messaging & Event Streaming - Apache Kafka, RabbitMQ, AWS SNS/SQS, GCP Pub/Sub

Version Control & Collaboration - Git, GitHub, Bitbucket, JIRA, Confluence

Development Methodologies - Agile Scrum, Sprint Planning, Code Reviews, TDD (Test-Driven Development)

Others - Application Resiliency, Security

PROFESSIONAL EXPERIENCE:

The Goldman Sachs Group, Inc. Aug 2024 – Present

Java Developer

Responsibilities:

Developed scalable microservices using Java Spring Boot, ensuring operational stability through robust system design and application development, deployed on AWS EC2 with auto-scaling and load balancing. This ensured seamless system performance.

Created secure RESTful APIs integrated with a React-based frontend, enhancing UI responsiveness and modularity, while actively participating in the full Software Development Life Cycle. This improved the overall user experience.

Leveraged AWS Lambda for event-driven data processing pipelines, enabling real-time analytics integration and supporting scalable backend logic with minimal operational overhead, adhering to agile methodologies. This improved efficiency.

Integrated AWS RDS and DynamoDB for structured and unstructured data management, optimizing for transactional integrity, schema flexibility, and high availability, while maintaining code in a large corporate environment. This improved data accessibility.

Designed robust unit and integration test suites using JUnit and Mockito, achieving over 90% code coverage and ensuring API reliability through continuous test automation, demonstrating ability to code. This improved code quality.

Engineered CI/CD pipelines using Jenkins and AWS CodePipeline to automate build, test, and deployment workflows across dev, QA, and production environments with rollback capabilities, using agile methodologies. This improved deployment speed.

Refactored legacy Java modules with modern functional programming practices, incorporating Java Streams and Lambdas to reduce code complexity and enhance readability, improving application resiliency. This improved maintainability.

Implemented Spring Security with OAuth 2.0 to secure APIs and enforce fine-grained, role-based access control, integrating with enterprise SSO providers for seamless user authentication, ensuring security. This improved security posture.

Established centralized logging and monitoring frameworks using AWS CloudWatch and ELK Stack (Elasticsearch, Logstash, Kibana), improving MTTR through proactive alerting and log analytics, debugging and maintaining code. This improved system monitoring.

Tuned SQL queries and redesigned RDS schemas for high-volume transactions, resulting in substantial performance gains and improved concurrency handling during peak financial operations, using database querying languages. This improved performance.

Johnson & Johnson Aug 2021 – Dec 2023

Full Stack Developer

Responsibilities:

Developed modular, responsive frontends using React, React Router, and Material UI to build healthcare dashboards, improving data visibility and patient engagement, while debugging and maintaining code. This improved user engagement.

Integrated dynamic forms and real-time validations in React using React Hook Form and custom validators, enhancing data accuracy and UX across multilingual safety and compliance systems, using agile methodologies. This improved data quality.

Built scalable backend services using Spring Boot and secured APIs with JWT and Spring Security, ensuring robust user authentication and authorization for sensitive healthcare data, demonstrating ability to code. This improved security.

Designed and consumed RESTful APIs to connect frontends and services, streamlining client-server communication and improving data flow for reporting, form submissions, and clinical workflows, ensuring operational stability. This improved data flow.

Migrated legacy monolith apps to Spring Boot microservices with MongoDB and React, reducing technical debt and improving performance and modularity in medical inventory systems, using Java and Springboot. This improved performance.

Deployed real-time backend services using AWS Lambda, SNS, and S3, triggering alert systems and distributed job execution pipelines for business-critical healthcare workflows, across the whole Software Development Life Cycle. This improved system reliability.

Built CI/CD pipelines with Maven, Jenkins, and GitHub Actions, automating unit tests, builds, and multi-environment deployments to accelerate development cycles and reduce human error, using agile methodologies. This improved deployment speed.

Implemented integration tests using Postman and unit tests with JUnit, increasing test reliability, coverage, and reducing production incidents through automated regression checks, ensuring application resiliency. This improved code quality.

Migrated relational data to AWS RDS, refactored schemas, and optimized SQL queries to improve query performance and enable scalable, reliable data storage across medical platforms, using database querying languages. This improved data storage.

Monitored application health with AWS CloudWatch and X-Ray, proactively detecting and resolving bottlenecks, memory leaks, and slow-performing endpoints to reduce MTTR, while maintaining code in a large corporate environment. This improved system monitoring.

Target May 2020 – Jul 2021

Software Engineer

Responsibilities:

Built product catalog applications using Spring Boot, Java, and React; enabled real-time inventory updates and streamlined user experience for large-scale retail and point-of-sale systems, using agile methodologies. This improved user experience.

Deployed containerized microservices on GCP Kubernetes Engine; enabled auto-scaling, load balancing, and secure service mesh routing for high-traffic consumer applications, ensuring operational stability. This improved system performance.

Integrated GCP Firestore and Azure Cosmos DB for regional data redundancy; ensured cross-cloud data availability, failover support, and real-time synchronization across deployments, demonstrating ability to code. This improved data availability.

Developed streaming pipelines using GCP Pub/Sub for live inventory updates and analytics integration, improving data freshness and accuracy in retail operations dashboards, using Java and Springboot. This improved data accuracy.

Delivered MVPs for seasonal campaigns by collaborating with business analysts; rapidly deployed user-facing features and increased engagement through agile delivery cycles, across the whole Software Development Life Cycle. This improved user engagement.

Standardized backend development with reusable service templates and SDKs; improved consistency, reduced onboarding time, and accelerated delivery across multiple engineering teams, debugging and maintaining code. This improved development efficiency.

Optimized caching and search layers using Redis and BigQuery; enhanced query response times and search accuracy for pricing, product availability, and user personalization, using database querying languages. This improved search accuracy.

Implemented security monitoring with GCP Security Command Center and Microsoft Sentinel; established alerting mechanisms and compliance visibility across hybrid cloud infrastructure, ensuring application resiliency. This improved security posture.

Deployed Node.js APIs for pricing engines and recommendation logic alongside Spring Boot services; improved modularity and enabled parallel development across teams, while maintaining code in a large corporate environment. This improved modularity.

Maintained GitHub Actions and Azure DevOps CI/CD workflows; supported multi-cloud deployments with rollback, version tagging, and secure environment configurations, using agile methodologies. This improved deployment reliability.

Educational Details:

Master of Science in Management & Information Technology - Indiana Wesleyan University

Bachelor of Technology in Computer Science - KITS Huzurabad

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