Quality Assurance Engineer (958)

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)