Gaurav Tiwari
Senior Software Development Engineer (SDE-III) at Amazon
About
I'm Gaurav Tiwari, currently a Senior Software Development Engineer (SDE-III) at Amazon. My career has been defined by a deep dive into the world of quality engineering and automation, moving from early roles at Optimus Information and S&P Global to leading complex automation strategies for Amazon's Bigscreen and Music platforms. I am particularly passionate about 'shifting left'—integrating quality and accessibility checks early in the development lifecycle to prevent issues before they arise. Lately, I've been focused on the intersection of AI and QA, specifically building open-source tools like MCP servers to make testing workflows more efficient. Whether I'm scaling infrastructure for hundreds of engineers or advocating for EAA compliance, I aim to bridge the gap between high-level strategy and technical execution. I'm always looking to connect with fellow engineers to share insights on automation frameworks or discuss new opportunities within Amazon Music.
Networking
What I can offer
- ›Expertise in cross-platform automation frameworks
- ›Open-source tools and technical documentation
- ›Hiring opportunities for SDET and QAE roles at Amazon Music
- ›Mentorship in voice automation and Selenium
Looking for
- ›expanding my professional network
- ›exploring mutual opportunities in the SDET and QA community
Best fit for
Current Interests
Background
Career
Progressed from Software Engineer at Optimus Information to Automation Quality Engineer at S&P Global, followed by a steady rise at Amazon from SDET-II to Senior SDE-III.
Education
B.Tech in Computer Science, IIMT College of Engineering, Greater Noida (2008 – 2012)
Achievements
- ›Developed and open-sourced @g-tiwari/mcp-testrail for AI assistant integration
- ›Led EAA accessibility compliance for mobile client code across React Native, Android, and iOS
- ›Managed automation infrastructure with 20+ VMs for over 100 engineers
- ›Published VoiceAutomationClient library to Maven Central
- ›Led automation strategy for Amazon Bigscreen client applications
Opinions
- Shift-Left Testing: Quality checks must be embedded early to move from reactive fixing to preventive detection.
- Efficiency through Tooling: Traditional UIs can be bottlenecks and should be augmented with AI/conversational interfaces.
- Deterministic AI: Supports applying deterministic models to enhance E2E testing and reduce manual effort.