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Quality Assurance Analyst (Mongoose)

Infor
Hyderabad, IND
Full-time
Mid · 3+ years experience
Onsite
Discovered 3 weeks ago
PlaywrightTypeScriptPostmanJenkinsGitLabGitHub Actions
Free

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A Typical Day in the Life Includes:

Design, develop, and execute test cases for functional, regression, integration, and exploratory testing.

Perform hands-on manual testing to validate end-to-end workflows, edge cases, and platform configurations.

Develop and maintain automation tests using Playwright with TypeScript for UI and API validation.

Identify, document, and track defects with clear reproduction steps and impact analysis.

Collaborate with developers and product teams to understand requirements and acceptance criteria.

Execute automated test suites and analyze results for continuous validation.

Support integration of automated tests into CI/CD pipelines.

Participate in Agile ceremonies including sprint planning, reviews, and retrospectives.

Perform basic root cause analysis and contribute to continuous quality improvement.

Ensure test coverage, traceability, and release readiness for assigned features.

Basic Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 3-5 years of experience in software testing.
  • Strong experience in manual testing (functional, regression, integration, exploratory).
  • Hands-on experience with Playwright automation using TypeScript.
  • Experience in API testing using Postman or similar tools.
  • Solid understanding of when to apply manual vs. automation testing based on use case and risk.
  • Familiarity with Agile/Scrum methodologies.
  • Experience with CI/CD tools such as Jenkins, GitLab, or GitHub Actions.
  • Basic programming knowledge in TypeScript/JavaScript (preferred) or other languages.
  • Experience with defect tracking and test management tools (Jira, Zephyr, TestRail).
  • Basic SQL knowledge for database validation.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications:

  • Exposure to low-code/no-code platforms or enterprise SaaS products.
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud).
  • Understanding of microservices and API-driven architectures.
  • Exposure to performance testing tools such as JMeter.
  • Knowledge of BDD frameworks such as Cucumber.

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