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Sneha B

Sneha B

Java Application Support Engineer

Talent
Bengaluru, KarnatakaMember since May 13, 2026
JavaSpring BootMicroservicesREST APIsDynatraceGitHubIncident ManagementProduction SupportRoot Cause Analysis (RCA)Debugging and TroubleshootingOracle SqlStakeholder Management
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JavaSpring BootMicroservicesREST APIsDynatrace

About

Java Application Support Engineer with 3+ years of experience in production support, incident management, debugging, and backend application maintenance using Java, Spring Boot, SQL, and microservices architecture. Skilled in resolving production issues, performing root cause analysis, monitoring application health using Dynatrace and handling support tickets. Adept at optimizing code for maintainability and performance, collaborating with cross-functional teams, and ensuring code quality through best practices, testing and debugging.

Experience

Java Application Support Engineer at Infosys (2022-10 – Present)

  • Provided L3 production support for Java Spring Boot microservices and backend applications.
  • Investigated and resolved production incidents and application issues within SLA timelines.
  • Performed debugging and troubleshooting using production logs, code analysis, SQL queries and Dynatrace monitoring.
  • Optimized database queries for improving performance.
  • Conducted Root Cause Analysis (RCA) for recurring production issues and implemented backend fixes.
  • Executed full-cycle debugging, testing, deployment and post-release monitoring for production environments.
  • Worked on major code fixes and backend enhancements for issue resolution and application stability.
  • Handled incident management tickets and collaborated with cross-functional teams for faster resolution.
  • Monitored application performance and database health to ensure system availability during peak periods.
  • Provided additional support for critical production fixes including database changes and enhancements.

Intern at AiRobosoft India (2021-08 – 2021-09)

  • Gained foundational understanding of AI and Machine Learning concepts, including model training and basic implementation techniques.
  • Developed an Object Detection System that identifies objects in real-time and triggers corresponding value display and audio output.

Education

Bachelor of Engineering in Computer Science (2018 – 2022)

Class XII in PCMB (2017 – 2018)

Class X (2015 – 2016)

Skills

Java Application Support Engineer

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