Rajiv Sharma

About Rajiv Sharma

Creative and detail‑oriented Test Automation Specialist with 10+ years of experience designing, developing, and scaling automation solutions across Web, Mobile, and API platforms. I specialize in building robust automation frameworks with a strong focus on maintainability, extensibility, and seamless integration with cloud platforms and CI/CD pipelines.I’m also engaged in AI Agent Development, architecting autonomous agents using Amazon Bedrock and AutoGen. I leverage the Kiro agentic IDE—including Hooks and Powers—and the Model Context Protocol (MCP) to extend agents capabilities.With a solid foundation in Object-Oriented Programming (Java, TypeScript), I apply SOLID principles, design patterns, and clean coding standards to deliver high‑quality, scalable automation solutions. My experience spans Banking, Finance, and eCommerce domains, giving me a strong understanding of enterprise‑grade testing challenges.I bring a thorough understanding of the Software Testing Life Cycle (STLC)—from strategy and planning to execution, defect management, and test infrastructure implementation. I enjoy exploring next‑generation automation technologies and continuously improving testing efficiency and product quality.Technical ExpertiseTesting Tools: Selenium WebDriver, Selenium Grid 4, Appium 2, RestAssuredAutomation Frameworks: WebDriverIO, Playwright, QAF, QuantumAgentic AI & LLMs: Amazon Bedrock, AutoGen, Model Context Protocol (MCP) Build Tools: Maven, GradleAPI Tools: Postman, InsomniaCI/CD: Jenkins, GitLab Pipeline, GitHub ActionsUnit Testing: TestNG, JUnitLanguages: Java, TypeScriptCloud Platforms: SauceLabs, BrowserStack, Perfecto Mobile, AWS Device Farm, KobitonIDEs: Kiro, Eclipse, IntelliJ, VS CodePlatforms: iOS, Android, Windows, LinuxDatabases: PostgreSQL, MySQL, Oracle, MongoDB, AzureDBMonitoring: Splunk, DataDogMobile Automation: XCUITest Driver (iOS), UiAutomator2 (Android)

Experience

1. Software Engineer Ii

   GreenSky®

   Mar 2024 — Present · US

   Designed and developed automation scripts for iOS and Android applications using Appium 2, WebdriverIO, Node.js, and TypeScript, ensuring high reliability, maintainability, and long‑term scalability. Executed end‑to‑end automation suites on Kobiton real devices through GitLab pipelines as part of the release cycle, improving test coverage, stability, and release confidence. Redefining the QA lifecycle through Autonomous AI Agents by architecting intelligent “diagnostic ecosystems” using Amazon Bedrock, the Kiro IDE, and Model Context Protocol (MCP). These systems autonomously correlate Splunk/DataDog logs, database records, and traces to identify root causes in real time—dramatically accelerating debugging and reducing manual triage effort. Investigated and debugged automation failures using Splunk and Datadog, leveraging both traditional analysis and AI‑driven insights to pinpoint root causes and collaborate with cross‑functional teams for rapid resolution. Performed comprehensive backend API testing to validate request/response accuracy and ensure seamless integration between mobile applications and backend services. Mentored and guided new team members through complete automation environment setup, including Xcode, Android Studio, Appium, iOS Simulators, Android Emulators, VS Code, Node.js, and Git, accelerating onboarding and team productivity. Troubleshot script failures, framework issues, and application defects, ensuring stable automation execution and driving continuous improvement of the automation framework.

Skills

• Software Quality Assurance
• Test Cases
• Functional Testing
• Mobile Testing
• User Acceptance Testing
• Manual Testing
• Jira
• Quality Analyst
• Selenium
• Black Box Testing
• Quality Assurance
• Test Planning
• Regression Testing
• Testing
• Hp Qtp
• Test Automation
• Jmeter
• Good Knowledge of Testing Tools Quick Test Professional and Jmeter.
• Performance Testing
• Qtp
• Hp Quicktest Professional (Qtp)