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indeed

QA Engineer - Quality Engineering & Automation

Solutionara
Uttar Pradesh, IND
Full-time
Onsite
Discovered 1 months ago
Manual testingTest automationFunctional, regression, integration, system, exploratory, and end-to-end testingSelenium, Playwright, Cypress, or equivalentJava, JavaScript/TypeScript, Python, or another relevant automation languageREST API testing

Full Job Posting

Location and work arrangement

  • The role is listed as on-site in Noida, Uttar Pradesh.

Role overview

Hands-on quality engineering role covering manual testing and automation for enterprise applications, APIs, integrations, and digital solutions.

Works with development, QA, project, business analysis, DevOps, and integration teams to assess functional, technical, and quality expectations.

Manual and functional testing

  • Analyze requirements, user stories, acceptance criteria, specifications, and application workflows; identify gaps and risks.
  • Create scenarios, cases, test data, and checklists; execute functional, regression, integration, system, smoke, sanity, exploratory, and end-to-end testing.
  • Test positive, negative, boundary, exception, data-validation, responsive web, cross-browser, and multi-layer business scenarios.
  • Maintain evidence and execution results; support UAT and validate business or client defects.

Automation, APIs, and data

  • Build and maintain automated web and API tests, reusable components, frameworks, and regression suites; debug failures and reduce flaky tests.
  • Review automation code and work with QA and DevOps to integrate tests into CI/CD pipelines.
  • Test REST APIs and integrations, including payloads, status codes, headers, authentication, error handling, asynchronous workflows, and data flows.
  • Use SQL to validate data across interfaces, APIs, databases, and integrated systems; check transactions and investigate data-quality issues.

Defects, releases, and collaboration

  • Reproduce, document, track, triage, retest, and investigate defects using logs, API responses, database results, and other evidence.
  • Support testing across development, QA, UAT, staging, and production; perform deployment smoke tests and release-readiness validation.
  • Communicate unresolved defects, test limitations, blockers, and quality risks; contribute to root cause analysis and QA process improvements.
  • Participate in delivery ceremonies, maintain requirements-to-test traceability, and own assigned testing activities through completion.

AI-assisted quality engineering

  • Use approved AI-assisted tools for test cases, automation, test data, documentation, and defect analysis; validate outputs and follow security, confidentiality, and responsible-use requirements.

Required qualifications

  • 3–6 years of hands-on Software Quality Assurance or Quality Engineering experience, including both manual testing and test automation.
  • Knowledge of SDLC, STLC, test design, and functional, regression, integration, system, exploratory, and end-to-end testing.
  • Automation experience with Selenium, Playwright, Cypress, or equivalent; programming or scripting in Java, JavaScript/TypeScript, Python, or another relevant language.
  • REST API testing with Postman or comparable tools; working SQL and database validation knowledge.
  • Experience with defect/test-management tools such as Jira, Azure DevOps, TestRail, Zephyr, Xray, or equivalent; familiarity with Git.
  • Basic CI/CD knowledge, troubleshooting experience, understanding of HTTP, REST, JSON, authentication, web architecture, and Agile/Scrum or hybrid delivery.
  • Strong analytical and problem-solving skills, clear technical communication, collaboration, ownership, and attention to detail.

Technical fluency

  • Testing may involve responsive web applications, REST/SOAP APIs, frontend and backend services, microservices, enterprise integrations, relational and NoSQL databases, and authentication.
  • Other relevant environments include cloud-hosted applications, CI/CD pipelines, event-driven processes, logs and monitoring, and deployment and release workflows.

Preferred qualifications

  • Experience in IT consulting, technology services, GDCs, global client support, or distributed engineering teams is preferred.
  • Experience with enterprise applications, digital platforms, cloud solutions, integrations, data platforms, eCommerce, PIM/DAM, ERP, or CRM is preferred.
  • Exposure to AWS or Azure, Docker, performance testing tools such as JMeter or k6, OWASP principles, CI/CD tools, or AI-assisted engineering tools is preferred.
  • Relevant QA/testing certifications are beneficial but not mandatory.

Additional information

Immediate joiners are strongly preferred.

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