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Application Support Engineer - Java Full Stack

Location:
Jamshedpur, Jharkhand, India
Salary:
90000
Posted:
July 23, 2026

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Resume:

Venkata S.

Application Support Engineer

Work Authorization: EAD

Open to relocation anywhere in the US

Minneapolis, MN 612-***-**** ***************@*****.***

LinkedIn: www.linkedin.com/in/subbareddy-servicenow

PROFESSIONAL SUMMARY

Application Support Engineer Java Full Stack Developer with 5+ years of experience supporting, developing, and maintaining enterprise healthcare and HR applications using Java, Spring Boot, Microservices, React.js, PostgreSQL, MongoDB, Kafka, and AWS. Experienced in production support, incident management, Root Cause Analysis (RCA), backend application development, REST API implementation and troubleshooting, SQL analysis, application monitoring, release management, and cloud-based deployments. Proven ability to resolve complex production issues, implement business enhancements, optimize application reliability and performance, and collaborate with cross-functional Agile teams to deliver secure, scalable, and high-availability enterprise solutions throughout the Software Development Life Cycle (SDLC).

TECHNICAL SKILLS

Programming: Java (8, 11, 17), SQL, JavaScript

Backend: Spring Boot, Spring MVC, Spring Data JPA, Hibernate, Spring Security, RESTful APIs, Microservices

Frontend: React.js, Redux, Angular, HTML5, CSS3

Databases: PostgreSQL, MongoDB, MySQL

Cloud & DevOps: AWS (EC2, RDS, Lambda, IAM, S3), Jenkins, GitHub Actions, Maven, Git

Testing & API Tools: JUnit, Mockito, Postman, Swagger/OpenAPI

Development Practices: Agile Scrum, SDLC, Production Support, Incident Management, Root Cause Analysis (RCA), Release Management, Application Monitoring

EXPERIENCE

Application Support Programmer- Atlanta, GA June 2024 – Present

Evolent Health

Owned Level 2 production support for Java 17 and Spring Boot-based healthcare applications supporting Member Enrollment, Provider Management, Eligibility Verification, and Claims Processing by resolving production incidents and ensuring SLA compliance.

Investigated production issues across Java applications, REST APIs, PostgreSQL, MongoDB, and scheduled batch jobs through log analysis, debugging, and cross-functional collaboration to restore business-critical healthcare services.

Performed Root Cause Analysis (RCA) for recurring production incidents, identified application defects, implemented permanent code fixes, and improved overall application stability.

Developed and enhanced Java 17, Spring Boot, Spring MVC, and Spring Data JPA services supporting healthcare workflows by implementing business enhancements, defect fixes, and performance improvements.

Owned troubleshooting of REST APIs supporting member enrollment, claims adjudication, provider validation, and eligibility services by analyzing request/response payloads, debugging backend microservices, and resolving integration failures.

Executed complex SQL queries on PostgreSQL and MongoDB to investigate production issues, validate healthcare transactions, resolve data inconsistencies, and support business operations.

Monitored production applications using AWS CloudWatch, application logs, and operational dashboards to proactively identify system failures, minimize downtime, and maintain application availability.

Coordinated production deployments using Jenkins and AWS services (EC2, Lambda, IAM, RDS, and S3), performing deployment validation, smoke testing, rollback activities, and post-deployment verification.

Developed automation scripts, operational runbooks, troubleshooting guides, and knowledge base documentation to standardize production support processes and improve incident resolution efficiency.

Collaborated with Product Owners, Business Analysts, QA Engineers, DevOps, and Infrastructure teams to prioritize production incidents, support release activities, and deliver stable healthcare applications following Agile Scrum practices.

Participated in sprint planning, defect triage, code reviews, release readiness activities, and production support meetings to ensure successful software delivery.

Optimized backend services, SQL queries, and REST API processing logic supporting healthcare applications by eliminating performance bottlenecks and improving application responsiveness.

Environment: Java 17, Spring Boot, Spring MVC, Spring Data JPA, Spring Security, Hibernate, RESTful APIs, Microservices, PostgreSQL, MongoDB, SQL, AWS (EC2, Lambda, IAM, RDS, S3, CloudWatch), Apache Kafka, Jenkins, Maven, Git, JIRA, Postman, JUnit, Mockito, JSON, Agile Scrum, Production Support, Incident Management, Root Cause Analysis (RCA), Defect Management, Application Monitoring, Release Management.

Java Developer- Hyderabad – INDIA August 2021-December 2022

COGNIZANT

Designed and developed Spring Boot REST APIs supporting Employee Lifecycle Management, Benefits Administration, and Employee Termination workflows by implementing business rules and three-level approval processes.

Developed backend microservices using Java 11, Spring Boot, and Spring MVC to automate HR operations, improve workflow efficiency, and support scalable enterprise applications.

Designed the persistence layer using Spring Data JPA and Hibernate for employee records, approval workflows, and benefits processing while ensuring transaction integrity and efficient database access.

Built secure authentication and authorization mechanisms using Spring Security, OAuth2, and JWT to protect enterprise REST APIs and enforce role-based access control.

Optimized PostgreSQL database schemas, SQL queries, and indexing strategies to improve application performance and ensure accurate employee and benefits data processing.

Developed Kafka producers and consumers to enable asynchronous communication between HR microservices for employee events, notifications, and background processing.

Improved frontend performance by integrating React Query, implementing lazy loading, optimizing API consumption, and reducing unnecessary network requests in React.js applications.

Integrated backend services with third-party enterprise systems through REST APIs to enable seamless employee data synchronization and automated business workflows.

Supported CI/CD pipelines using Jenkins, Maven, AWS EC2, and AWS RDS by participating in application deployments, release validation, and post-deployment verification.

Collaborated with Product Owners, Business Analysts, QA Engineers, and cross-functional Agile teams to analyze requirements, implement new features, resolve application defects, and deliver high-quality software releases.

Participated in code reviews, unit testing with JUnit and Mockito, defect resolution, sprint planning, and Agile ceremonies to ensure application quality, maintainability, and timely project delivery.

Troubleshot production issues involving Java applications, REST APIs, and PostgreSQL databases by analyzing logs, debugging application code, and implementing permanent fixes to improve system reliability.

Environment: Java 11, Spring Boot, Spring MVC, Spring Data JPA, Hibernate, Spring Security, OAuth2, JWT, RESTful APIs,Microservices, React.js, React Query, Redux, PostgreSQL, Apache Kafka, AWS (EC2, RDS), Jenkins, Maven, Git, JUnit, Mockito, Postman, JSON, Agile Scrum, CI/CD, Production Support, SQL, JIRA, Application Integration, Release Management

Application Support Programmer- Hyderabad – INDIA January 2020 – July 2021

WebCode IT

Provided Level 2 application support for an Enterprise HR Management System supporting employee onboarding, attendance management, payroll processing, and approval workflows by ensuring timely resolution of production incidents within SLA commitments.

Investigated production issues affecting HR application modules by analyzing application logs, validating business transactions, executing SQL queries, and troubleshooting REST API integrations to restore business operations.

Managed end-to-end production incidents by performing impact analysis, identifying root causes, coordinating with development and infrastructure teams, and tracking issues through resolution.

Performed Root Cause Analysis (RCA) for recurring production issues, documented findings, recommended corrective actions, and verified permanent fixes to improve application stability.

Supported HR and Operations teams by resolving application issues related to employee records, attendance processing, payroll validation, leave management, and approval workflows.

Executed SQL queries on PostgreSQL and MySQL to validate production data, investigate transaction failures, resolve data inconsistencies, and support business reporting requirements.

Supported application deployments by validating production releases, performing smoke testing, verifying business functionality, and assisting rollback activities to ensure successful implementations.

Monitored application health using server logs and monitoring tools to proactively detect system failures, identify performance bottlenecks, and maintain high application availability.

Worked closely with Business Analysts, Developers, QA Engineers, DevOps, and Infrastructure teams to prioritize incidents, implement change requests, and support scheduled application releases.

Participated in incident management, defect triage, change management, release planning, and production readiness activities while ensuring compliance with operational support processes.

Created operational runbooks, troubleshooting documentation, deployment checklists, and knowledge base articles to standardize support activities and improve incident resolution efficiency.

Supported maintenance and enhancement of Java-based enterprise applications by validating production fixes, implementing approved bug fixes, verifying business functionality, and ensuring stable application performance after releases.

Environment: Application Support, Production Support, Incident Management, Root Cause Analysis (RCA), Change Management, Release Management, Application Monitoring, Java 8, Java 11, Spring Boot, RESTful APIs, SQL, PostgreSQL, MySQL, Git, Maven, Jenkins, Postman, JIRA, JSON, Agile Scrum, Application Maintenance.

PROJECTS

Healthcare Claims Processing System

Java, Spring Boot, Spring Security (OAuth2), React.js, AWS

Developed Spring Boot REST APIs supporting healthcare claim submission, eligibility verification, adjudication, and claim status tracking workflows.

Implemented role-based authentication and authorization using Spring Security OAuth2 to secure healthcare transactions and protect sensitive patient information.

Designed database interactions using Spring Data JPA and PostgreSQL while implementing business validation rules for claims processing.

Integrated backend microservices with React.js user interfaces and deployed the application on AWS EC2 using automated build and deployment pipelines.

Developed unit tests using JUnit and validated REST APIs using Postman to ensure application quality and reliability

Account Transactions & Payment Processing System

Java, Spring Boot, Spring Security (JWT), PostgreSǪL, Angular, AWS

Developed Spring Boot REST APIs supporting account management, balance inquiries, and financial transaction processing.

Implemented secure JWT-based authentication and authorization to protect banking services and customer account information.

Designed PostgreSQL database operations for transaction processing while maintaining data consistency and integrity.

Developed Angular components to consume backend APIs and provide customers with real-time account and transaction information.

Performed unit testing using JUnit and Mockito and deployed backend services on AWS EC2.

EDUCATION

Master Of Science (M.S.) in Data Analytics (January 2023 – May 2024)

Concordia University- Saint Paul, Minnesota

Bachelor Of Technology in Computer Science (August 2017 – July 2021)

Sir C R Reddy College of Engineering, Andhra Pradesh, India

CERTIFICATIONS

Spring Certified Professional by VMware – Validated expertise in Spring Framework and Spring Boot

AWS Certified Developer Associate – Verified ability to build and deploy applications using AWS services.

NPTEL certification of IIT Madras on Python for Data Science



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