Gopika Manvitha 2001

Software Developer with 4+ years of experience building scalable backend applications and distributed services using Java, Spring Boot, RESTful APIs, Microservices, AWS, Docker, and Kubernetes. Experienced in backend development, API design, object-oriented programming, distributed systems, database integration, system scalability, performance optimization, automated testing, CI/CD, and SDLC. Proven ability to develop and troubleshoot cloud-based services, optimize application performance, support production systems, and deliver reliable software solutions.

Additional experience developing AI-enabled backend workflows using Spring AI and OpenAI APIs.

Software Developer - INDEPENDENT HEALTH

(2026-01)

• Designed and developed scalable backend services and Agentic AI workflows using Java, Spring AI, and OpenAI APIs to analyze production alerts, retrieve logs and events, and identify root causes across distributed microservices.
• Built multi-step backend workflows integrating logs, metrics, and Kafka events to generate structured remediation plans and actionable insights for faster incident resolution.
• Developed human-in-the-loop approval workflows enabling engineers to review, enrich, and validate AI-generated remediation plans before execution.
• Applied prompt engineering and contextual retrieval techniques to improve the accuracy and reliability of automated root-cause analysis and resolution recommendations.
• Supported development, debugging, and troubleshooting of distributed backend components while improving application reliability and production issue resolution.

Software Development Engineer - AMAZON

(2025-03 - 2025-12)

• Developed distributed backend services using Java, Spring Boot, Docker, and AWS to support scalable and fault-tolerant customer-facing logistics workflows.
• Built and integrated cloud-based backend services using AWS Lambda, API Gateway, DynamoDB, and SQS.
• Optimized Spring Boot services by eliminating redundant downstream calls, reducing application latency by 25%.
• Refactored DynamoDB schemas and access patterns to improve fulfillment-center observability while maintaining backward compatibility.
• Implemented CloudWatch monitoring and alerting, reducing issue detection and debugging time by 30%.
• Investigated, debugged, and resolved production issues and performance bottlenecks, improving application stability and minimizing on-call escalations.
• Participated in code reviews to improve software quality, maintainability, coding standards, and implementation consistency.
• Leveraged Amazon Q and GenAI development tools to accelerate software development and improve developer productivity.

Software Developer - CVS HEALTH

(2024-12 - 2025-03)

• Developed and maintained Java and Spring Boot microservices supporting scalable backend application functionality.
• Upgraded vulnerable Maven and Spring Boot dependencies identified through GitHub CI/CD security and quality checks.
• Applied Test-Driven Development (TDD) using JUnit and maintained 85% code coverage to improve software reliability and maintainability.
• Used SonarQube to identify code-quality issues, improve maintainability, and support engineering quality standards.
• Implemented Kubernetes blue-green and rolling deployment strategies to support reliable application releases.
• Collaborated with cross-functional teams to analyze business and technical requirements and translate them into scalable software solutions.
• Performed debugging, testing, deployment, and production support throughout the Software Development Life Cycle (SDLC).

Software Developer Intern - AT&T

(2022-01 - 2022-07)

• Developed RESTful APIs using Java 8 to support backend application functionality.
• Created and executed unit and integration tests, maintaining 80%+ code coverage.
• Debugged backend components and validated API functionality to improve application reliability and software quality.

Python Developer - NEXUS SOFTWARES

(2019-08 - 2021-10)

• Developed web applications using Python, Django, Django ORM, and ReactJS.
• Designed and implemented REST APIs using Django REST Framework and software design patterns.
• Optimized REST API endpoints and backend data retrieval processes, reducing data retrieval time by 30%.
• Integrated backend APIs with frontend applications and performed debugging and performance optimization to improve application functionality and responsiveness.

Master of Science - Computer Science - UNIVERSITY OF TEXAS AT DALLAS (2022-08 - 2024-05)

Bachelor of Technology - Computer Science - KL UNIVERSITY (2018-08 - 2022-03)