---
title: "Ashish Sharma - Software Engineer in Hyderabad | Tal"
description: "Meet Ashish Sharma, Backend Engineer @ Atlassian | Ex-Microsoft | Distributed Systems | Scalability | Java | Spring Boot | AWS | Azure | Agentic AI based in Hyderabad. AI stack includes antigravity, cursor, and opencode."
image: "https://tal.club/meet/ashish-sharma-4/share-image"
---

# Ashish Sharma on Tal

## Headline

Backend Engineer @ Atlassian \| Ex\-Microsoft \| Distributed Systems \| Scalability \| Java \| Spring Boot \| AWS \| Azure \| Agentic AI

## About

I’m a Backend Engineer at Atlassian \(Ex\-Microsoft\), working on distributed systems, scalability, and cloud platforms\. At Atlassian, I build and scale cloud migration systems that operate at large scale, focusing on reliability, performance, and observability\. My work includes: \* Designing frameworks for faster debugging and root cause analysis \(significantly reducing incident triage time\) \* Building data\-driven and ML\-assisted systems to improve migration planning and predict performance \* Optimizing enterprise\-scale migrations for high\-profile customers Previously at Microsoft, I worked on global supply chain platforms, where I: \* Architected and scaled microservices across 10\+ countries, achieving 99\.9% uptime \* Built distributed data systems and ETL pipelines powering business\-critical workflows across finance, returns, and compliance \* Optimized large\-scale data processing systems, reducing execution time by \~70% and resource usage by \~50% \* Improved system reliability and reduced incident resolution time through observability and monitoring systems \* Developed an AI\-powered Copilot to automate decision\-making workflows Across my experience, I’ve worked extensively with: \* Distributed systems & microservices architectures \* Scalable backend systems \(Java, Spring Boot\) \* Cloud platforms \(AWS, Azure\) \* Data processing systems \(Spark, ETL pipelines\) I’m particularly interested in: \* Distributed systems & scalability \* Backend infrastructure & system design \* High\-scale data and platform engineering

## Location

Hyderabad

## AI stack

antigravity

cursor

opencode

## Work experience

Software Engineer at Atlassian, Dec 2025 \- Present · 9 mos, India, Atlassian Backend Engineer \| Distributed Systems \| Cloud Migrations Dec 2025 – Present \* Designed and scaled a Rapid Investigation Framework for cloud migrations, reducing incident triage & root cause analysis time by 70% across large\-scale distributed systems \* Built ML\-driven prediction systems using AutoGluon, achieving \~85% accuracy to forecast tenant migration performance and enable capacity planning & proactive risk mitigation \* Improved reliability of enterprise\-scale migrations by implementing guardrails and partnering cross\-functionally \(impacting customers like Uber, Wells Fargo, Apple\) \* Working on high\-scale backend systems handling migration workflows for thousands of tenants in a distributed cloud environment Tech: Java, Spring Boot, Microservices, Distributed Systems, Kafka, PostgreSQL, AWS, Docker, Kubernetes, Redis, CI/CD, Prometheus, Grafana, ELK, AutoGluon

Software Engineer at Microsoft, Jul 2023 \- Dec 2025 · 2 yrs 6 mos, Hyderabad, Telangana, India, Software Engineer \(Backend, Data Systems\) — Supply Chain Platform Jul 2023 – Dec 2025 \* Architected and scaled 5 high\-availability backend microservices using Java \(Spring Boot\), powering global supply chain workflows across 10\+ countries with 99\.9% uptime \* Designed scalable, fault\-tolerant data systems using Azure SQL and Cosmos DB to support high\-volume transactional and tracking workloads \* Built and maintained 15\+ secure, versioned REST APIs, enabling reliable service\-to\-service communication in distributed systems \* Engineered 10\+ ETL pipelines using Apache Spark and Azure Data Factory, powering 20\+ business\-critical reports across finance, returns, and compliance \* Optimized large\-scale data processing systems, reducing execution time by \~70% and resource usage by \~50% through incremental data loading strategies \* Built an AI\-powered Warranty Copilot to automate warranty validation workflows, improving operational efficiency and reducing manual effort \* Improved system observability and incident response using Application Insights, Azure Monitor, and logging pipelines, reducing resolution time by \~35% \* Implemented CI/CD pipelines with blue\-green deployments, ensuring reliable and low\-risk production releases Tech: Java, Spring Boot, Microservices, Distributed Systems, Apache Spark, PySpark, Azure Data Factory, Azure SQL, Cosmos DB, Azure Event Hub, CI/CD, Azure DevOps, Application Insights

SWE intern at Microsoft, May 2022 \- Jul 2022 · 3 mos, Noida, Uttar Pradesh, India, Software Development Engineer Intern — Excel Online May 2022 – Jul 2022 \* Designed and built a Playwright\-based test automation framework, reducing test execution time by \~30% and increasing functional test coverage by \~25% with 50\+ automated test cases \* Stabilized large\-scale test suites by debugging and fixing 100\+ flaky test cases, improving reliability to \~99\.5% and reducing failure rates by \~20% \* Integrated the framework into 10\+ CI/CD pipelines, enabling faster and more reliable release cycles across Excel Online services \* Explored and implemented visual regression testing to enhance UI validation and improve coverage of critical product flows Tech: JavaScript, TypeScript, Playwright, CI/CD \(Azure DevOps, GitHub Actions\), Test Automation

## Education

Bachelor of Technology \- BTech, Information Technology, Motilal Nehru National Institute of Technology

[View the original profile](https://tal.club/meet/ashish-sharma-4)

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