← All Jobs
Posted Apr 10, 2026

Quality Assurance Engineer (958)

Apply Now ✨

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)