Quality Assurance Engineer (958)

Posted 2026-05-06
Remote, USA Full-time Immediate Start


Career Opportunities: Quality Assurance Engineer (958)











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)




 













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)


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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