---
title: "Sharan Bindroo - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Sharan Bindroo, Senior Software Engineer @ GlobalLogic | Building Scalable Microservices with Java, Spring Boot & Kafka based in Bengaluru. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/sharan-bindroo/share-image"
---

# Sharan Bindroo on Tal

## Headline

Senior Software Engineer @ GlobalLogic \| Building Scalable Microservices with Java, Spring Boot & Kafka

## About

Backend developer with 4\+ years of experience building scalable, high\-performance systems using Java, Spring Boot, and Kafka\. At Amdocs, I’ve designed and enhanced microservices that automate workflows, optimize performance, and support real\-time data streaming across telecom platforms\. My experience spans Kubernetes, SQL \(PostgreSQL, Oracle DB\), NoSQL \(Cassandra, Elasticsearch\), and cloud\-native environments\. I thrive on hands\-on coding, debugging, and system design — with a strong focus on clean architecture and resilient APIs\. Beyond work, I’ve led modular side projects in C\+\+, Python, and data structures, earning Gold Badges in Problem Solving \(5⭐\) and C\+\+ \(5⭐\) on HackerRank\. Currently open to backend engineering roles where I can drive impact through scalable architecture, performance tuning, and clean code\.

## Location

Bengaluru

## AI stack

claude code

claude

cursor

deepseek

gemini

github copilot

## Work experience

Senior Software Engineer at GlobalLogic, Oct 2025 \- Present · 1 yr, Bengaluru, Karnataka, India

Software Developer at Amdocs, Jul 2024 \- Sep 2025 · 1 yr 3 mos, Pune District, Maharashtra, India, \- Designed and implemented scalable REST APIs for a high\-volume ordering system using Spring Boot and PostgreSQL — improved transaction throughput by 40% and reduced latency by 35%\. \- Led migration from monolith to microservices architecture, cutting deployment time by 60% and boosting maintainability\. Integrated Kafka for asynchronous communication and enhanced system resilience\. \- Built a centralized exception\-handling framework in Spring Boot with SLF4J and Logback, enabling structured logging and reducing debugging turnaround time by 50%\. \- Integrated third\-party payment gateways \(Razorpay, Stripe\) with robust validation and rollback mechanisms — ensured 99\.99% transactional accuracy across payment flows\. \- Collaborated with DevOps to containerize services using Docker and orchestrate deployments via Kubernetes\. Set up clusters for auto\-scaling, handling 10K\+ concurrent users with <500ms average response time\. \- Optimized PostgreSQL queries and indexing strategies to support analytics workloads — achieved sub\-second retrieval times across millions of records\. \- Developed a Couchbase Eventing framework to traverse multiple collections in parallel, identify and analyze missing data, and store only essential identifiers\. This approach enabled large\-scale data fixes within days while keeping storage usage minimal\. \- Resolved critical production issues by identifying root causes, proposing effective solutions, and coordinating with delivery teams for rapid deployment — improved system stability and uptime\. \- Engaged directly with clients to troubleshoot severe system gaps, perform deep\-dive analysis, and deliver timely fixes — boosting reliability and client satisfaction\.

Associate Software Engineer at Amdocs, Jul 2022 \- Jun 2024 · 2 yrs, Pune District, Maharashtra, India, \- Resolved critical production issues by identifying root causes, proposing effective solutions, and coordinating with delivery teams for rapid deployment — improving system stability and uptime\. \- Engaged directly with clients to troubleshoot severe system gaps, perform deep\-dive analysis, and deliver timely fixes — boosting reliability and client satisfaction\. \- Engineered a data patching solution in collaboration with management and technical leads, successfully restoring CouchbaseDB records for 23 million users impacted by a database failure\. \- Automated 10\+ manual workflows using Python, Shell, and SQL — reducing processing time from tens of hours to under 30 minutes and streamlining cross\-domain operations\. \- Built an intelligent data verification tool to compare records across ElasticSearch and Couchbase, cutting validation time from 2–3 days for 100 entries to under 5 minutes for 1,000 entries — dramatically improving accuracy and efficiency\. \- Developed a Python\-based reconciliation tool to analyze discrepancy files across multiple rule sets, instantly surfacing top offending fields through aggregation and quantification\. \- Created shell scripts for automated failure analysis across multiple domains, achieving 100% elimination of manual effort and accelerating root cause identification\.

## Education

Bachelor of Engineering \- BE, Computer Science, Sinhgad Institute of Technology & Science

Higher Secondary School, Jammu and Kashmir Board of School Education \(JKBOSE\)

[View the original profile](https://tal.club/meet/sharan-bindroo)

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