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)