Utkarsh Sharma

Backend Software Engineer with 5 years of experience building scalable, distributed systems using Java and the Spring Boot ecosystem. Skilled in designing and optimizing microservices architectures, with hands-on experience in Hibernate for data persistence, Kafka and RabbitMQ for event-driven and asynchronous communication, and both SQL and NoSQL databases for varied data storage needs. Experienced in containerizing and orchestrating applications using Docker and Kubernetes, with cloud deployment experience on GCP and AWS.

Passionate about building reliable, high-performance backend systems that scale, with a strong focus on clean architecture, fault tolerance, and system design best practices.

Senior Software Engineer at Magic Edtech (2023-04 – Present)

• Cross-Product Backend Ownership: Serve as an engineering stakeholder across Deal Pricing, Contract Management, the CSAT/NPS/ESAT platform, Survey Portal, and the ERP/HRMS platform, owning feature delivery, integrations, and production stability.
• High-Concurrency API Development (ERP/HRMS): Built scalable REST APIs in Spring Boot handling large-scale data ingestion and processing, improving system throughput by 60% and reducing latency under load.
• Reporting System & File Processing (ERP/HRMS): Developed a queue-based reporting system using RabbitMQ and Google Cloud Storage for asynchronous report generation and scalable file storage, reducing report processing time by 75–80% and eliminating API blocking.
• Inbox Service & Workflow Synchronization (ERP/HRMS): Built a centralized Inbox Service for tracking workflow status across core and integration services using scheduler-based asynchronous synchronization and user-triggered synchronous refresh.
• Notification Processing Optimization (ERP/HRMS): Redesigned notification handling by decoupling blocking email operations from synchronous APIs using database-driven processing, scheduler-based batch execution, and multithreaded asynchronous processing, improving API responsiveness and notification throughput by 70%.
• Enterprise Data Synchronization (ERP/HRMS): Developed bidirectional data synchronization pipelines in Java and Spring Boot between Business Central 365 and enterprise systems, improving data transfer efficiency by 70%.
• Deal Pricing Platform: Built the Spring Boot backend from scratch and delivered 3 successful production releases, implementing scheduled jobs, CSV import/export workflows, relational data handling, performance-monitoring modules, and Swagger-based API documentation; applied secure coding practices using Checkmarx.
• Survey Portal: Replaced Google Forms/Sheets-based CSAT/NPS/ESAT collection with a custom-built survey platform supporting configurable questions, templates, and campaigns per feedback cycle, establishing a single source of truth for organization-wide feedback data.
• Security & DevOps: Implemented SSO using OAuth2, JWT, and Spring Security across enterprise applications; managed build, deployment, and release activities through Jenkins-based CI/CD pipelines.

Software Engineer at Magic Edtech (2021-08 – 2023-03)

• Assessment Platform (ExamFactor | ABP Technologies): Developed backend components for the assessment player, product service, and product management module within a hybrid microservices + MagicBox monolith architecture, supporting cross-system integrations, feature delivery, and stability improvements for assessment and content workflows.
• Monolith Load Offloading: Moved critical request handling out of the legacy Servlet/JSP MagicBox core into surrounding Spring Boot services, enabling capabilities the monolith could not support (e.g., AWS SNS-based SMS delivery) and reducing load and risk on the core system.
• Contract Management System: Developed backend workflows for contract management and client operations; automated email notifications to improve timeliness, engagement, and operational follow-ups.
• CSAT/NPS/ESAT Portal: Built backend workflows for feedback collection covering client and employee satisfaction use cases, including survey handling, response capture, reporting flows, and follow-up notifications.
• Database & Storage Optimization: Designed optimized SQL queries and indexing strategies in MySQL and PostgreSQL; migrated file storage from on-premise servers to Google Cloud Storage, Amazon S3, and Azure Blob Storage for scalable, secure, and highly available data management.
• Quality Assurance: Developed unit, integration, and API tests, achieving 85%+ test coverage for critical services.

BTech in Information Technology (2015-07 – 2019-06)