Python Playwright API Automation Test Engineer

K RAJENDRA

Software Test Engineer Python Playwright API Automation AI/GenAI Testing

Email: *******************@*****.***

Phone: 636-***-****

PROFESSIONAL SUMMARY:

Software Test Engineer with 4.2 years of experience in software testing and Python-based test automation, specializing in Playwright, Pytest, UI automation, API testing, regression automation and CI/CD integration. Experienced in designing and maintaining reusable automation frameworks using Python, Playwright, Pytest and Page Object Model (POM). Strong experience in functional, regression, smoke, integration, end-to-end and cross-browser testing of web applications, along with API validation using Postman and SQL-based data validation.

Hands-on experience working with Jenkins, Git, Jira, XRay and Agile/Scrum environments. Skilled in analyzing automation failures using logs, screenshots and Playwright traces, identifying root causes and improving automation coverage and reliability.

Familiar with modern Quality Engineering practices including API automation, parallel test execution, CI/CD, Docker, performance testing and AI-assisted test automation. Developing knowledge of Generative AI/LLM testing, prompt engineering, AI test-case generation, LLM API testing, hallucination validation, prompt injection testing and AI-agent testing.

EXPERIENCE:

INNATUS IT SOLUTIONS Software Test Engineer Mar 2023 – Present

ALTAIR ENGINEERING INDIA PVT LTD Software QA Engineer Jul 2022 – Feb 2023 EDUCATION:

Master of Computer Applications (MCA), Cloud Technology - KL University Online

(Expected 2028)

Bachelor of Commerce (Computer Applications) Sri Krishnadevaraya University (2020) TECHNICAL SKILLS:

Programming & Automation: Python, Playwright, Pytest, Selenium WebDriver, Page Object Model (POM), Test Framework Development, Test Fixtures, Parametrization, Data-Driven Testing, Reusable Automation Utilities, Parallel Test Execution

Web & UI Automation: Web UI Automation, End-to-End Testing, Functional Testing, Regression Testing, Smoke Testing, Integration Testing, Cross-Browser Testing, Dynamic Element Handling, Locators, Assertions, Waits, Screenshots, Videos, Trace Analysis, Browser Contexts API Testing & Automation: REST API Testing, API Automation, Postman, HTTP Methods, Request/Response Validation, Status Code Validation, Headers, Authentication, JSON Validation, Negative API Testing, API Data Validation, JSON Schema Validation

Database & SQL: SQL, Database Testing, Data Validation, Backend Data Verification, Relational Databases CI/CD & DevOps: Jenkins, Git, GitHub, CI/CD Pipelines, Automated Test Execution, Quality Gates, Linux, Docker Test Management & Collaboration: Jira, XRay, Confluence, Defect Management, Test Case Management, Test Planning, Test Execution, Defect Life Cycle, Root Cause Analysis, Agile, Scrum Testing Methodologies: Functional Testing, Regression Testing, Smoke Testing, Sanity Testing, Integration Testing, System Testing, End-to-End Testing, Exploratory Testing, Cross-Browser Testing, Risk-Based Testing, Boundary Value Analysis, Equivalence Partitioning

Performance Testing: JMeter, k6, Performance Testing, Load Testing, Stress Testing, API Performance Testing BDD & Additional Automation: BDD, Cucumber, Behave, Allure Reporting, Test Data Management, Configuration Management, Logging, Test Reporting

AI & GenAI Testing: Generative AI Testing, LLM Testing, AI Application Testing, Prompt Engineering, Prompt Testing, Prompt Regression Testing, AI Test Case Generation, AI-Assisted Test Automation, AI-Assisted Debugging, LLM API Testing, AI Response Validation, Prompt Injection Testing, RAG Testing, AI Agent Testing, LLM Evaluation. AI Tools: ChatGPT, GitHub Copilot, Claude, AI-Assisted Coding, AI-Assisted Test Generation, AI-Assisted Debugging PROJECTS:

INNATUS IT SOLUTIONS

Software Test Engineer Mar 2023 – Present

Project: TD Insurance

Web-based insurance application supporting customer information, policy and coverage details, quotes, payments and policy servicing.

Key Responsibilities & Achievements

Developed and maintained automated UI test suites using Python, Playwright and Pytest.

Designed reusable automation components using the Page Object Model (POM) architecture.

Automated critical business workflows and high-priority regression scenarios.

Created and maintained Pytest fixtures, parametrization, assertions and reusable test utilities.

Performed functional, regression, smoke, integration and end-to-end testing of web applications.

Executed cross-browser automation testing and validated application behaviour across supported browsers.

Implemented Playwright locators, browser contexts, waits, assertions, screenshots and trace-based debugging.

Automated validation of UI elements, navigation, forms, error messages, data validations and business workflows.

Identified manual regression scenarios suitable for automation and improved overall automation coverage.

Investigated automation failures using logs, screenshots and Playwright traces and performed root-cause analysis.

Performed REST API testing using Postman, validating HTTP methods, status codes, headers and response data.

Executed SQL queries for backend and database validation.

Integrated automated test execution into Jenkins CI/CD pipelines.

Used Git for source control, branching, merging and code collaboration.

Participated in code reviews and followed maintainable automation coding practices.

Created and managed defects using Jira and collaborated with developers and business stakeholders for defect resolution.

Participated in Agile/Scrum ceremonies including stand-ups, sprint planning, backlog refinement and retrospectives.

Prepared test execution reports and communicated automation results, defects, coverage and release risks.

Contributed to continuous improvement of automation stability, maintainability and regression coverage. ALTAIR ENGINEERING INDIA PVT LTD

Software QA Engineer Jul 2022 – Feb 2023

Project: HyperWorks Quality Assurance & Test Automation Quality assurance and test automation for Altair HyperWorks commercial CAE simulation products including HyperMesh, HyperView and HyperGraph.

Key Responsibilities & Achievements

Performed end-to-end QA testing for commercial CAE simulation software.

Designed and executed test cases, scenarios and test plans covering functional, regression, integration and workflow testing.

Automated manual test cases using Python and maintained existing automation suites.

Worked with automation for FE model creation, analysis setup, solver interfaces and post-processing workflows.

Validated workflows involving major FEA solvers including OptiStruct, Radioss, Nastran, Abaqus and Ansys.

Executed regression testing across product releases and validated critical customer workflows.

Investigated defects reported by QA teams, field engineers and customers.

Performed root-cause analysis and added identified scenarios to automated/manual regression suites.

Reviewed and enhanced test suites to improve coverage and reduce test maintenance effort.

Created, executed and reported test cases using Jira, Confluence and XRay.

Tracked defects and prepared test metrics and execution reports.

Collaborated with Development, Product Management, Support, Documentation and DevOps teams.

Validated product workflows across Automotive, Aerospace and Heavy Engineering domains.

Reviewed product documentation and tutorials for quality, accuracy and usability.

Contributed to continuous improvement of QA processes and test automation frameworks.

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