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, CA08-2025
Stanford Continuing Studies - Large Language Models for Business with Python
Stanford University
Palo Alto, California, CA07-2025
Master of Science - Management Information Systems
University of Illinois At Chicago
Chicago, IL12-2019
Bachelor of Engineering -
Thadomal Shahani Engineering College
Mumbai, India05-2017
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