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Mid-level QA automation role in a metro with broad skillset attracts high applicant competition.
Core QA and automation skills are broadly transferable, though cloud and security emphasis increases domain specificity.
Explicit 4–7 years plus multiple mandatory automation, cloud, performance, and security skills makes shortlisting strict.
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Own test planning and execution for cloud services, APIs, and user workflows including automated tests for API, integration, regression, and UI coverage.
Perform and analyze performance validation and security-focused testing for cloud services, identifying risks related to latency, throughput, scale, access control, and data handling.
Use AI tools to accelerate test design, data generation, and failure analysis, and contribute to CI/CD quality gates and test environment reliability.
Bachelor’s degree in computer science, mathematics, IT, or equivalent professional experience with technical training.
4 to 7 years of relevant experience in QA, test automation, or cloud software quality.
Strong skills in test automation, API testing, CI/CD processes, and cloud service validation.
Ability to use AI tools effectively for testing while applying sound judgment.
Experience owning quality for cloud-native AI-driven platform features with moderate supervision.
Proficient in combining AI tools and traditional QA methods for test acceleration and risk identification.
Demonstrates responsibility and leadership for feature quality and contributes to reliable release delivery.