Perform manual and automated testing across web, mobile, APIs, and databases. Design test plans and reusable automation frameworks, validate functionality and data, manage defects, analyze failures, and execute regression suites through CI/CD pipelines. Collaborate with Agile development, product, business analysis, and DevOps teams throughout the SDLC. Use programming, SQL, reporting, version control, and AI-assisted tools to support reliable software releases.
As a QA Engineer, you
will be responsible for ensuring reliable, scalable, and high-quality software
releases through strong testing fundamentals and hands-on experience in Web UI Testing,
Mobile Testing, API testing, database validation, and CI/CD-based test
execution. You will work closely with Developers, Product Owners, Business
Analysts, and DevOps teams throughout the Software Development Life Cycle,
taking features from requirement analysis through test design, manual and
automated validation, defect reporting, regression automation, and release
validation. A strong engineering mindset, programming knowledge, and the
ability to identify issues beyond basic functional validation are expected.
Essential Functions / Deliverables:
Requirement Analysis & Test Planning:
Analyze business requirements, user stories, and acceptance criteria, and participate in requirement grooming and sprint planning sessions.
Identify functional, integration, regression, and edge-case scenarios, and prepare test scenarios, test cases, and test data.
Identify potential quality risks early in the development lifecycle.
Provide test effort estimates for assigned stories and features.
Functional & Manual Testing:
Perform functional, integration, system, regression, smoke, sanity, end-to-end, exploratory, and cross-browser testing.
Validate applications against functional and non-functional requirements before release
Apply test design techniques including boundary value analysis, equivalence partitioning, and risk-based testing.
Web & Mobile (Manual and Automation) Testing:
Design, develop, and maintain Manual and automated test scripts for web as well as Mobile applications using Playwright (preferred), Selenium WebDriver, or Cypress
Apply Page Object Model and reusable automation architecture, fixtures, assertions, explicit waits and synchronization, and browser contexts and sessions.
Implement data-driven and parameterized tests, parallel and cross-browser execution, retry strategies, and environment configuration.
Use screenshots, videos, and traces for failure analysis, and debug and maintain existing automation frameworks rather than only writing individual scripts.
Write automation using TypeScript/JavaScript (preferred), Java, or Python, applying OOP fundamentals, exception handling, JSON manipulation, and file handling.
API Testing:
Test and automate REST APIs using Postman, Playwright API, REST Assured, Karate, or Newman; automation is preferred over manual Postman testing only.
Validate GET, POST, PUT, PATCH, and DELETE methods, HTTP status codes, headers, query and path parameters, and request/response payloads.
Verify authentication and authorization using bearer tokens, JWT, and OAuth basics.
Perform API schema validation, response validation, and negative API testing.
Database Testing:
Write SQL queries using SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, ORDER BY, aggregate functions, and subqueries.
Validate data between the UI/API and backend databases.
Work with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
Defect Management:
Identify, reproduce, and document software defects with clear reproduction steps and supporting evidence.
Assign appropriate severity and priority, and collaborate with developers during defect investigation.
Perform defect retesting and verification, and participate in root-cause analysis for recurring production or regression issues.
Use Jira, Azure DevOps, Zephyr, Xray, or similar test and defect management platforms.
Identify, reproduce, and document software defects with clear reproduction steps and supporting evidence.
Assign appropriate severity and priority, and collaborate with developers during defect investigation.
Perform defect retesting and verification, and participate in root-cause analysis for recurring production or regression issues.
Use Jira, Azure DevOps, Zephyr, Xray, or similar test and defect management platforms.
CI/CD, Continuous Testing & Version Control:
Trigger automated test suites from pipelines (Jenkins, GitHub Actions, Azure DevOps Pipelines, GitLab CI/CD) and support continuous regression execution.
Analyze pipeline failures, troubleshoot failed tests, and manage environment-specific configurations.
Use Git (clone, pull, push, commit, branch, merge, pull/merge requests, conflict resolution) on GitHub, GitLab, Bitbucket, or Azure Repos.
Test Reporting & Failure Analysis:
Analyze and communicate automation execution results using Allure, Playwright HTML, Extent, Cucumber, or Jenkins/Azure DevOps reports.
Distinguish between product defects, automation defects, environment failures, test-data failures, and infrastructure issues.
Agile / Scrum Collaboration:
Participate in Sprint Planning, Backlog Refinement, Daily Stand-up, Sprint Review, Retrospective, and Defect Triage.
Collaborate continuously with Developers, Product Owners, Business Analysts, and DevOps rather than treating testing as a separate end-of-cycle activity.
AI-Assisted Quality Engineering:
Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT, Claude) for test generation, test-data generation, log and failure analysis, automation code generation, and test-case optimization.
Review, validate, and maintain AI-generated tests and code using standard engineering practices.
Essential Functions / Deliverables:
Requirement Analysis & Test Planning:
Analyze business requirements, user stories, and acceptance criteria, and participate in requirement grooming and sprint planning sessions.
Identify functional, integration, regression, and edge-case scenarios, and prepare test scenarios, test cases, and test data.
Identify potential quality risks early in the development lifecycle.
Provide test effort estimates for assigned stories and features.
Functional & Manual Testing:
Perform functional, integration, system, regression, smoke, sanity, end-to-end, exploratory, and cross-browser testing.
Validate applications against functional and non-functional requirements before release
Apply test design techniques including boundary value analysis, equivalence partitioning, and risk-based testing.
Web & Mobile (Manual and Automation) Testing:
Design, develop, and maintain Manual and automated test scripts for web as well as Mobile applications using Playwright (preferred), Selenium WebDriver, or Cypress
Apply Page Object Model and reusable automation architecture, fixtures, assertions, explicit waits and synchronization, and browser contexts and sessions.
Implement data-driven and parameterized tests, parallel and cross-browser execution, retry strategies, and environment configuration.
Use screenshots, videos, and traces for failure analysis, and debug and maintain existing automation frameworks rather than only writing individual scripts.
Write automation using TypeScript/JavaScript (preferred), Java, or Python, applying OOP fundamentals, exception handling, JSON manipulation, and file handling.
API Testing:
Test and automate REST APIs using Postman, Playwright API, REST Assured, Karate, or Newman; automation is preferred over manual Postman testing only.
Validate GET, POST, PUT, PATCH, and DELETE methods, HTTP status codes, headers, query and path parameters, and request/response payloads.
Verify authentication and authorization using bearer tokens, JWT, and OAuth basics.
Perform API schema validation, response validation, and negative API testing.
Database Testing:
Write SQL queries using SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, ORDER BY, aggregate functions, and subqueries.
Validate data between the UI/API and backend databases.
Work with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
Defect Management:
Identify, reproduce, and document software defects with clear reproduction steps and supporting evidence.
Assign appropriate severity and priority, and collaborate with developers during defect investigation.
Perform defect retesting and verification, and participate in root-cause analysis for recurring production or regression issues.
Use Jira, Azure DevOps, Zephyr, Xray, or similar test and defect management platforms.
Identify, reproduce, and document software defects with clear reproduction steps and supporting evidence.
Assign appropriate severity and priority, and collaborate with developers during defect investigation.
Perform defect retesting and verification, and participate in root-cause analysis for recurring production or regression issues.
Use Jira, Azure DevOps, Zephyr, Xray, or similar test and defect management platforms.
CI/CD, Continuous Testing & Version Control:
Trigger automated test suites from pipelines (Jenkins, GitHub Actions, Azure DevOps Pipelines, GitLab CI/CD) and support continuous regression execution.
Analyze pipeline failures, troubleshoot failed tests, and manage environment-specific configurations.
Use Git (clone, pull, push, commit, branch, merge, pull/merge requests, conflict resolution) on GitHub, GitLab, Bitbucket, or Azure Repos.
Test Reporting & Failure Analysis:
Analyze and communicate automation execution results using Allure, Playwright HTML, Extent, Cucumber, or Jenkins/Azure DevOps reports.
Distinguish between product defects, automation defects, environment failures, test-data failures, and infrastructure issues.
Agile / Scrum Collaboration:
Participate in Sprint Planning, Backlog Refinement, Daily Stand-up, Sprint Review, Retrospective, and Defect Triage.
Collaborate continuously with Developers, Product Owners, Business Analysts, and DevOps rather than treating testing as a separate end-of-cycle activity.
AI-Assisted Quality Engineering:
Use AI-assisted tools (e.g., GitHub Copilot, ChatGPT, Claude) for test generation, test-data generation, log and failure analysis, automation code generation, and test-case optimization.
Review, validate, and maintain AI-generated tests and code using standard engineering practices.
Requirements
Education : Bachelor's degree in
Computer Science, Information Technology, or Engineering, or an equivalent
technical discipline/experience
Technical/Computer Skills :
Web Automation: Playwright (preferred) / Selenium / Cypress
Mobile Automation : Appium
Programming: TypeScript / JavaScript (preferred), Java, or Python
API Testing & Automation: Postman, Playwright API, REST Assured, Karate, Newman
Database: SQL (PostgreSQL, MySQL, SQL Server, Oracle)
Version Control & CI/CD: Git; Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD
Defect & Test Management: Jira, Azure DevOps, Zephyr, Xray
Testing: Functional, Regression, Integration, End-to-End
Architecture: Page Object Model / reusable framework design; BDD with Cucumber/Gherkin where required
Programming: TypeScript / JavaScript (preferred), Java, or Python
API Testing & Automation: Postman, Playwright API, REST Assured, Karate, Newman
Database: SQL (PostgreSQL, MySQL, SQL Server, Oracle)
Version Control & CI/CD: Git; Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD
Defect & Test Management: Jira, Azure DevOps, Zephyr, Xray
Testing: Functional, Regression, Integration, End-to-End
Architecture: Page Object Model / reusable framework design; BDD with Cucumber/Gherkin where required
Other Requirements :
Strong analytical ability and logical, structured problem-solving
Attention to detail and strong debugging skills
Good written and verbal communication
Ownership of assigned features and ability to work independently
Ability to collaborate across engineering teams
Curiosity toward new technologies and a quality-focused engineering mindset
Preferred Education
Bachelors/Master of Computer Applications (BCA/MCA) or Bachelors/Master’s in Computer Science
Bachelor’s in Engineering (BE/BTech) in Computer Science, IT, or Electronics – preferred degrees within the required qualification section.
Preferred Experience and Type :
Mobile testing exposure: Appium, Android, iOS, BrowserStack, Sauce Labs, device farms
Performance testing basics: JMeter, k6, Gatling (response time, throughput, concurrent users, load and stress testing)
Cloud and containerization awareness: AWS, Azure, GCP; Docker, Kubernetes
Microservices understanding: service-to-service communication, distributed systems, logs and troubleshooting
Security testing awareness: authentication, authorization, OAuth, JWT, OWASP fundamentals, API security
Note: good-to-have skills are advantageous but not mandatory for this role
Knowledge, Skills & Abilities :
Core QA knowledge: SDLC, STLC, defect life cycle, test strategy and planning, test case design, regression strategy, test coverage, root-cause analysis, shift-left and continuous testing
Preferred modern stack: TypeScript, Playwright, Playwright API/REST Assured/Karate, SQL/PostgreSQL, Git with GitHub/Azure Repos, GitHub Actions/Azure DevOps/Jenkins, Allure and Playwright HTML reports, Jira with Zephyr/Xray or Azure DevOps
Success measure: independently take a feature from requirement analysis, test scenario design, manual/exploratory validation, UI/API automation, and database validation through defect reporting, regression automation, CI/CD execution, failure analysis, and release validation
The expectation is not merely to execute test cases, but to actively contribute to building quality throughout the software development lifecycle
Technical/Computer Skills :
Web Automation: Playwright (preferred) / Selenium / Cypress
Mobile Automation : Appium
Programming: TypeScript / JavaScript (preferred), Java, or Python
API Testing & Automation: Postman, Playwright API, REST Assured, Karate, Newman
Database: SQL (PostgreSQL, MySQL, SQL Server, Oracle)
Version Control & CI/CD: Git; Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD
Defect & Test Management: Jira, Azure DevOps, Zephyr, Xray
Testing: Functional, Regression, Integration, End-to-End
Architecture: Page Object Model / reusable framework design; BDD with Cucumber/Gherkin where required
Programming: TypeScript / JavaScript (preferred), Java, or Python
API Testing & Automation: Postman, Playwright API, REST Assured, Karate, Newman
Database: SQL (PostgreSQL, MySQL, SQL Server, Oracle)
Version Control & CI/CD: Git; Jenkins, GitHub Actions, Azure DevOps, GitLab CI/CD
Defect & Test Management: Jira, Azure DevOps, Zephyr, Xray
Testing: Functional, Regression, Integration, End-to-End
Architecture: Page Object Model / reusable framework design; BDD with Cucumber/Gherkin where required
Other Requirements :
Strong analytical ability and logical, structured problem-solving
Attention to detail and strong debugging skills
Good written and verbal communication
Ownership of assigned features and ability to work independently
Ability to collaborate across engineering teams
Curiosity toward new technologies and a quality-focused engineering mindset
Preferred Education
Bachelors/Master of Computer Applications (BCA/MCA) or Bachelors/Master’s in Computer Science
Bachelor’s in Engineering (BE/BTech) in Computer Science, IT, or Electronics – preferred degrees within the required qualification section.
Preferred Experience and Type :
Mobile testing exposure: Appium, Android, iOS, BrowserStack, Sauce Labs, device farms
Performance testing basics: JMeter, k6, Gatling (response time, throughput, concurrent users, load and stress testing)
Cloud and containerization awareness: AWS, Azure, GCP; Docker, Kubernetes
Microservices understanding: service-to-service communication, distributed systems, logs and troubleshooting
Security testing awareness: authentication, authorization, OAuth, JWT, OWASP fundamentals, API security
Note: good-to-have skills are advantageous but not mandatory for this role
Knowledge, Skills & Abilities :
Core QA knowledge: SDLC, STLC, defect life cycle, test strategy and planning, test case design, regression strategy, test coverage, root-cause analysis, shift-left and continuous testing
Preferred modern stack: TypeScript, Playwright, Playwright API/REST Assured/Karate, SQL/PostgreSQL, Git with GitHub/Azure Repos, GitHub Actions/Azure DevOps/Jenkins, Allure and Playwright HTML reports, Jira with Zephyr/Xray or Azure DevOps
Success measure: independently take a feature from requirement analysis, test scenario design, manual/exploratory validation, UI/API automation, and database validation through defect reporting, regression automation, CI/CD execution, failure analysis, and release validation
The expectation is not merely to execute test cases, but to actively contribute to building quality throughout the software development lifecycle
Certifications (Preferred) : ISTQB Foundation
Level, Playwright/Selenium, or relevant test automation certifications
(preferred)
Required Professional Experience : 3 to 6 years of relevant software testing / quality engineering experience, ideally
including 3+ years of hands-on automation across web, API, and database
validation in Agile projects with CI/CD exposure
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