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Quality Assurance Engineer (958)

Work from home Full-time role Hiring

Career Opportunities: Quality Assurance Engineer (958)

Requisition ID 958 - Posted  Job Description Print Preview

Key Responsibilities

  • Design, develop, and maintain automated test cases and test frameworks
  • Contribute to building automation-first Quality Engineering practices
  • Integrate automated tests into CI/CD pipelines for continuous validation
  • Collaborate with developers and DevOps engineers to enforce quality gates before deployments
  • Perform functional, integration, regression, and API testing
  • Develop reusable test utilities and automation libraries
  • Validate applications deployed in cloud and containerized environments
  • Participate in test planning, test case design, and defect tracking
  • Contribute to improving release quality, stability, and deployment confidence
  • Support adoption of AI-assisted testing or intelligent validation tools
  • Maintain test reports, quality metrics, and documentation
  • Assist in troubleshooting issues during build, test, and release cycles

Required Skills & Qualifications

  • 1–3 years of experience in Software Testing / Quality Assurance
  • Hands-on experience with test automation frameworks (Cypress, Playwright or similar)
  • Strong programming knowledge in at least one of below language (Python, JavaScript, TypeScript or similar)
  • Good understanding of CI/CD pipelines (GitLab CI, Azure DevOps or similar)
  • Experience with API testing tools (Postman, REST Assured, Katalon or similar)
  • Solid understanding of Quality Engineering processes and SDLC
  • Basic understanding of Cloud platforms (AWS, Azure or similar)
  • Exposure to DevOps practices and modern engineering toolchains (Git workflows, CI/CD workflows, Docker, Kubernetes, Linux environments, artifact repositories, infrastructure automation tools, etc.)
  • Exposure to AI / AI-assisted testing / intelligent automation tools
  • Exposure to containerized environments (Docker, Kubernetes, or similar)
  • Familiarity with Git-based development workflows
  • Strong analytical and problem-solving skills
  • Good communication and teamwork skills

Nice to Have

  • Experience with performance testing tools (JMeter, k6, Gatling)
Email this job to a friend  The job has been sent to Please provide the information below Job title: *Your friend’s email address: Message: Maximum character limit: 1000 *Confirm you are not a robot: Requisition ID 958 - Posted

Key Responsibilities

  • Design, develop, and maintain automated test cases and test frameworks
  • Contribute to building automation-first Quality Engineering practices
  • Integrate automated tests into CI/CD pipelines for continuous validation
  • Collaborate with developers and DevOps engineers to enforce quality gates before deployments
  • Perform functional, integration, regression, and API testing
  • Develop reusable test utilities and automation libraries
  • Validate applications deployed in cloud and containerized environments
  • Participate in test planning, test case design, and defect tracking
  • Contribute to improving release quality, stability, and deployment confidence
  • Support adoption of AI-assisted testing or intelligent validation tools
  • Maintain test reports, quality metrics, and documentation
  • Assist in troubleshooting issues during build, test, and release cycles

Required Skills & Qualifications

  • 1–3 years of experience in Software Testing / Quality Assurance
  • Hands-on experience with test automation frameworks (Cypress, Playwright or similar)
  • Strong programming knowledge in at least one of below language (Python, JavaScript, TypeScript or similar)
  • Good understanding of CI/CD pipelines (GitLab CI, Azure DevOps or similar)
  • Experience with API testing tools (Postman, REST Assured, Katalon or similar)
  • Solid understanding of Quality Engineering processes and SDLC
  • Basic understanding of Cloud platforms (AWS, Azure or similar)
  • Exposure to DevOps practices and modern engineering toolchains (Git workflows, CI/CD workflows, Docker, Kubernetes, Linux environments, artifact repositories, infrastructure automation tools, etc.)
  • Exposure to AI / AI-assisted testing / intelligent automation tools
  • Exposure to containerized environments (Docker, Kubernetes, or similar)
  • Familiarity with Git-based development workflows
  • Strong analytical and problem-solving skills
  • Good communication and teamwork skills

Nice to Have

  • Experience with performance testing tools (JMeter, k6, Gatling)
Email this job to a friend  The job has been sent to The job has been sent to

Key Responsibilities

  • Design, develop, and maintain automated test cases and test frameworks
  • Contribute to building automation-first Quality Engineering practices
  • Integrate automated tests into CI/CD pipelines for continuous validation
  • Collaborate with developers and DevOps engineers to enforce quality gates before deployments
  • Perform functional, integration, regression, and API testing
  • Develop reusable test utilities and automation libraries
  • Validate applications deployed in cloud and containerized environments
  • Participate in test planning, test case design, and defect tracking
  • Contribute to improving release quality, stability, and deployment confidence
  • Support adoption of AI-assisted testing or intelligent validation tools
  • Maintain test reports, quality metrics, and documentation
  • Assist in troubleshooting issues during build, test, and release cycles

Required Skills & Qualifications

  • 1–3 years of experience in Software Testing / Quality Assurance
  • Hands-on experience with test automation frameworks (Cypress, Playwright or similar)
  • Strong programming knowledge in at least one of below language (Python, JavaScript, TypeScript or similar)
  • Good understanding of CI/CD pipelines (GitLab CI, Azure DevOps or similar)
  • Experience with API testing tools (Postman, REST Assured, Katalon or similar)
  • Solid understanding of Quality Engineering processes and SDLC
  • Basic understanding of Cloud platforms (AWS, Azure or similar)
  • Exposure to DevOps practices and modern engineering toolchains (Git workflows, CI/CD workflows, Docker, Kubernetes, Linux environments, artifact repositories, infrastructure automation tools, etc.)
  • Exposure to AI / AI-assisted testing / intelligent automation tools
  • Exposure to containerized environments (Docker, Kubernetes, or similar)
  • Familiarity with Git-based development workflows
  • Strong analytical and problem-solving skills
  • Good communication and teamwork skills

Nice to Have

  • Experience with performance testing tools (JMeter, k6, Gatling)
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