ARUN KUMAR RAJENDRAN
Sunnyvale,CA
Summary
Software Test lead with 15+ years of experience in diverse domains such as Device testing, Android features, and Camera Application, financial and telecom domains specializing in Functional, performance, stability and quality assurance. Demonstrates expertise in Generative AI tools/agents, AWS, Java, and Python, with a proven track record in process-driven software development and automation testing. Passionate about leveraging analytical skills and collaborative approaches to drive innovation and efficiency in software testing and development.
Overview
15
15
years of professional experience
1
1
Certification
Work History
QA Lead Engineer
Amazon Lab126
Sunnyvale, CA
04.2017 - Current
End-to-End Component Ownership: Owned complete testing lifecycle (strategy, functional, non-functional, automation) for 5 critical Fire Tablet components:
- Alexa on Fire Tablet Client - Wake word detection, listening/thinking mode UI feedback, cloud audio streaming, text-to-speech conversion, and device speaker playback
- Generative AI Wallpaper - User prompt/style collection, AWS Bedrock Nova model integration, red prompt detection, guardrails implementation, load and performance testing
- Camera Application - Vendor collaboration for quality improvement, multi-scenario testing, parameter fine-tuning for image/video quality optimization
- Backup & Restore Application - User app data backup and restoration for new tablets and post-factory reset scenarios
- Android System UI - Quick settings, lock screen, wallpaper, and notifications management
Senior QA Engineer
Cognizant Technology Solutions
Menlo Park, CA
12.2010 - 04.2017
- Performed functional testing for ETL applications in Finance and Trading platforms
- Built automation framework for desktop and mobile applications supporting iOS and Android
- Drove automation team and automated ~5K test cases achieving 75% automation coverage with consistent pass rate of ~80%
- Provided technical guidance for automation architecture and design
- Collaborated with global teams for test strategy and execution
Education
Bachelor of Engineering - Mining Engineering
College of Engineering Guindy, Anna University
India04.2007
Skills
- Hardware / Platforms: Android, iOS, macOS Catalina, Windows 10/11, Linux Ubuntu
- Programming Languages: Java, Python, Microsoft VBA, HTML, JavaScript, SQL
- Databases: AWS DynamoDB, Oracle 10x, Microsoft SQL Server, Cassandra
- Testing Tools: Android UIAutomator, Selenium, Rest Assured (API), TestNG, TestRail, Postman, HP UFT
- Cloud: Experience in managing AWS accounts & Roles and cloud cost optimization, used AWS services such as EC2, Lambda, S3, DynamoDB, ECS Fargate, CloudFront, Cognito, SQS, Athena, QuickSight, Redshift for building automation and DevOps infrastructure
- Other Tools: ADB, Git, JIRA, Jenkins, Java Eclipse, ALM, HP QC
- Testing Skills: Creating Test strategies and planning; Client and API Testing, regression, E2E, UAT, UX, Automation, Performance & Stability testing, build infrastructure and drive quality upstream by implementing CI/CD
- Process: Agile, Bug triages, Review metrics, Identify/mitigate risks, thorough documentation and facilitate Unit/Integration testing Extensive & strong experience in SDLC and QA best practices
- Management: Customer-centric, Hire and manage global teams, Collaborate with Leadership, Product, Development, Program Managers, and Operations teams for roadmap planning & product launches; Managing Sprints; and Employee development
- Domains: Device Testing, Mobile Applications (Android & iOS), GenAI/ML Applications, Banking & Finance, and Telecom
Accomplishments
- Implemented serverless image evaluation pipeline using AWS Lambda, Bedrock, S3, SQS, Athena/Glue, and QuickSight that automates quality assessment through AI-powered scoring with end-to-end data flow from S3 event triggers to visualization dashboards, achieving cost-effective pay-per-use model with automatic scaling and built-in error handling via DLQ.
- Built scalable image evaluation platform on AWS ECS Fargate with Streamlit, Application load balancer, CloudFront, DynamoDB, S3, Cognito, and WAF security deployed via AWS CDK, supporting concurrent users with role-based access for human-in-the-loop ML data collection.
- Automated crash analysis workflow using Python with intelligent scoring algorithm and JIRA/AWS SES integration, eliminating 90% of manual analysis time through automated prioritization, threshold-based alerts, and configurable multi-team crash reporting system.
- Managed multiple complex projects ensuring optimal resource allocation/process improvements and cost savings up to 20% of QA budgets per year
- Reduced test device procurement costs by implementing device farm that saved ~$100K annually
- Reduced monthly infrastructure bill by $5K through scaling down Beta and Gamma test environments
- Saved ~300 man-hours annually through automation, quality metrics optimization, and test efficiency improvements
- Led organization-wide Tablet Unified Automation Framework initiative, standardizing testing across teams with hybrid off-device/on-device architecture
- Increased automation coverage from 50% to 80% for 800+ test cases, reducing testing time by 3 person-days per cycle
- Infrastructure & Tools:
- Implemented Fire Tablet Device Farm serving 100+ unique users across multiple organizations during COVID-19
- Built stability automation framework preventing production regressions and enabling memory benchmarking
- efficiency.
GenAI & Innovation:
Efficiency & Cost Optimization:
Automation & Quality:
Certification
ISTQB Testing Foundation
SQL Associate
Timeline
QA Lead Engineer
Amazon Lab126
04.2017 - Current
Senior QA Engineer
Cognizant Technology Solutions
12.2010 - 04.2017
Bachelor of Engineering - Mining Engineering
College of Engineering Guindy, Anna University