Summary
Overview
Work History
Education
Skills
Websites
Timeline
Generic

Kajol Gulabani

Summary

Results-oriented Software Development Engineer - Test at Amazon Music, proficient in automation testing and CI/CD pipelines. Specialist in constructing scalable validation frameworks and improving system reliability. Demonstrated expertise in collaborating with cross-functional teams, utilizing machine learning insights to influence impactful product strategies and guarantee high-quality feature launches.

Overview

8
8
years of professional experience

Work History

Software Development Engineer - Test

Amazon Music
San Francisco
08.2022 - Current
  • Design and build scalable internal platforms, automation systems, and validation infrastructure supporting high-volume customer communication services across Amazon Music.
  • Architect reusable, production-grade frameworks for mobile, web, and backend services, tightly integrated into CI/CD pipelines.
  • Develop backend systems to validate push notifications, in-app messaging, personalization logic, deep links, and experimentation workflows across multiple surfaces.
  • Build end-to-end validation pipelines covering delivery orchestration, data correctness, and customer journey integrity across distributed services.
  • Partner closely with Product, Engineering, ML, and Growth teams to enable experiment-friendly, production-ready feature launches.
  • Support ML-driven decisioning systems, including Next Best Action (NBA) pipelines and dynamic messaging personalization.
  • Improve system reliability, test coverage, and release confidence for customer-facing messaging platforms operating at Amazon scale.
  • Contribute to system-level quality and reliability strategy for distributed, data-driven platforms.

Software Automation Engineer - Device OS

Amazon Lab126
Sunnyvale
05.2021 - 08.2022
  • Developed automation and validation tooling for multimedia features across Fire OS (versions 5, 6, and 7) on Smart TVs, tablets, and streaming media players.
  • Built Unix/Linux-based shell scripting systems to support large-scale multimedia software validation and release workflows.
  • Supported DRM validation for Echo multimodal devices and media playback pipelines.
  • Conducted HDMI interoperability (IOP) testing across source (SMPs) and display (Smart TV) devices.
  • Executed Dolby Audio, Dolby Vision, and HDR10+ certification testing to ensure device readiness and compliance.
  • Designed, documented, and coordinated deployment of manual and automated test suites for complex device ecosystems.
  • Collaborated with OS, firmware, and hardware teams to ensure system stability, performance, and release readiness.

Senior Software Quality Assurance Engineer

NICE Actimize
San Francisco Bay Area
02.2020 - 05.2021
  • Built Python-based automation and validation systems for machine-learning-driven bank fraud prevention platforms.
  • Developed internal tooling to validate ML model behavior, backend services, and data ingestion pipelines.
  • Designed backend validation frameworks supporting multiple data collection and processing platforms.
  • Implemented REST API validation systems to ensure correctness of service-level integrations.
  • Built real-time data processing validation pipelines using RabbitMQ message queues.
  • Performed deep database and data pipeline analysis using complex SQL across staging and production environments.
  • Integrated automation and validation workflows into CI pipelines using Jenkins.
  • Worked closely with developers, data scientists, and customers to ensure system correctness across the SDLC.

Software Engineer

Accugen Laboratories, Inc.
Addison
07.2019 - 12.2019
  • Contributed to backend systems and data automation for an internal Laboratory Information Management System (LIMS).
  • Worked on system design and requirements definition supporting laboratory operations and reporting.
  • Developed SQL-based automation for data warehouse validation and ETL workflows.
  • Validated source-to-target data mappings across ETL pipelines to ensure data accuracy and consistency.
  • Automated reporting and data ingestion processes using SQL, Excel VBA, and Access VBA.

Software Automation Engineer

Accenture
08.2017 - 06.2018
  • Built automation frameworks using Java, Selenium WebDriver, Maven, and TestNG for enterprise insurance platforms.
  • Developed batch jobs and integration pipelines using Java and Spring.
  • Performed API and integration testing using SoapUI and ARC.
  • Executed performance and load testing using JMeter to validate throughput and scalability.

Education

Stanford Continuing Studies - Beyond the Roadmap: Product Strategy & Leadership

Stanford University
Palo Alto, California, CA
08-2025

Stanford Continuing Studies - Large Language Models for Business with Python

Stanford University
Palo Alto, California, CA
07-2025

Master of Science - Management Information Systems

University of Illinois At Chicago
Chicago, IL
12-2019

Bachelor of Engineering -

Thadomal Shahani Engineering College
Mumbai, India
05-2017

Skills

  • Product strategy
  • Machine learning
  • Software development
  • Automation testing
  • Data analysis
  • CI/CD pipelines

Timeline

Software Development Engineer - Test

Amazon Music
08.2022 - Current

Software Automation Engineer - Device OS

Amazon Lab126
05.2021 - 08.2022

Senior Software Quality Assurance Engineer

NICE Actimize
02.2020 - 05.2021

Software Engineer

Accugen Laboratories, Inc.
07.2019 - 12.2019

Software Automation Engineer

Accenture
08.2017 - 06.2018

Stanford Continuing Studies - Beyond the Roadmap: Product Strategy & Leadership

Stanford University

Stanford Continuing Studies - Large Language Models for Business with Python

Stanford University

Master of Science - Management Information Systems

University of Illinois At Chicago

Bachelor of Engineering -

Thadomal Shahani Engineering College
Kajol Gulabani