Sanidhya Jain

Software Engineer

Gurugram, Haryana, India4 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

3+ years of backend development experience
Reduced operational latency by up to 40%
Expert in building scalable Java microservices

Stackforce AI infers this person is a Backend Developer specializing in Media Streaming and Content Management.

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Skills

Core Skills

JavaSpring Boot

Other Skills

AWSAWS KinesisAgileAlgorithmsCC++CI/CDData StructuresDockerEngineeringEnglishHibernateKafkaLeadershipMySQL

About

🚀 Java Backend Developer | Spring Boot | Kafka | AWS | MicroservicesHi! I'm Sanidhya Jain, a results-driven software engineer with 3+ years of backend development experience, currently working at Hughes Systique. I specialize in building scalable Java microservices, optimizing system performance, and integrating real-time streaming solutions using Kafka, Spring Boot, and AWS.I've led key modules in high-impact projects such as Carnival VOD and XICMS, enabling live streaming, video scheduling, and distributed content sync across 100+ devices. My contributions have helped reduce operational latency by up to 40%, and improve system efficiency significantly.My core strengths lie in:✅ Java (8, 11, 21), Spring Boot, Hibernate✅ Kafka, RabbitMQ, REST APIs✅ AWS (EC2, S3, Lambda, Kinesis), Docker✅ SQL & performance tuning✅ Agile, TDD, CI/CD pipelinesI’m always eager to collaborate on challenging backend problems and work on systems that scale. If you're looking for a backend engineer who blends clean architecture with performance optimization, let’s connect!📬 Open to backend/full-stack opportunities at product-based companies or high-growth startups.📫 Reach me at: sanidhyajain.work@gmail.com

Experience

4 yrs 3 mos

Total Experience

4 yrs 3 mos

Average Tenure

4 yrs 3 mos

Current Experience

Hughes systique corporation (hsc)

3 roles

SDE (T1)

Promoted

Apr 2023 – Present · 3 yrs 1 mo · Hybrid

Architected backend development for the Carnival VOD project, focusing on the Broadcast In a Box (BIB) application;
enabled cruise administrators to record, schedule, and manage streaming content across 100+ devices, improving
operational efficiency by 30%.
Integrated Wowza Streaming Engine with embedded systems to enable Live Event Streaming on cruise ships in various
transcoded formats (HLS, RTMP, MPEG-DASH), reducing manual setup time by 40%.
Developed RESTful APIs using Java 11, Spring Boot, and Hibernate ORM, optimizing JPA queries to achieve 20%
faster data retrieval from MySQL databases.
Wrote comprehensive unit tests using JUnit 5 and Mockito, improving code coverage by 35% and reducing QA-reported
bugs by 25%.
Crafted complex SQL queries and optimized server-side configurations, enhancing backend performance by 15% and
ensuring scalability for multi-device streaming environments.

JavaSpring BootHibernateRESTful APIsMySQLKafka

SDE (T0)

Jul 2022 – Apr 2023 · 9 mos · Hybrid

Contributed to backend enhancements of XICMS (Content Management System) using Java 8, MySQL, and Spring
Boot, improving content delivery speed by 18%.
Designed and implemented a Content Sync module using RabbitMQ Clustering and AMQP protocol, enabling real-time
content synchronization across 50+ distributed cruise environments.
Followed SOLID principles and GoF design patterns to refactor legacy code, improving maintainability and reducing
tech debt by 20%.
Conducted static code analysis with SonarQube, ensuring adherence to coding standards and reducing critical issues
by 40%.
Core Competencies utilized are Agile, Scrum, Test-Driven Development (TDD), Debugging Troubleshooting, Perfor-
mance Optimization, RESTful Web Services, System Scalability, Microservices Architecture, Distributed Systems.

JavaSpring BootMySQLRabbitMQAgileTDD

SDE intern

Mar 2022 – Jul 2022 · 4 mos · Hybrid

Engineered a Proof of Concept using AWS Kinesis Video Streams, enabling real-time video ingestion and analysis,
demonstrating feasibility for edge-based surveillance systems.
Assisted in Java-based application development for embedded systems with a focus on optimizing latency and memory
usage.

AWS KinesisJava