Job Description – QA Manager | Automation & AIPosition: QA Manager / QA Engineering ManagerExperience: 13+ YearsEmployment Type: Full-TimeWork Location: [Location]Work Mode: [Hybrid / Work From Office / Remote]About the RoleWe are looking for an experienced and technically strong QA Manager with 13+ years of experience in software quality assurance, test automation, and quality engineering.The ideal candidate should have strong hands-on expertise in Automation Testing and should also have practical experience working with AI/Generative AI technologies in software testing or quality engineering. The candidate will be responsible for defining QA strategy, driving automation initiatives, improving test coverage, and leading the adoption of AI-driven testing practices.This role requires a combination of technical depth, QA leadership, automation expertise, and AI knowledge.Key ResponsibilitiesDefine and implement the overall QA and Quality Engineering strategy across products and applications.Lead and mentor QA engineers, automation engineers, and SDET teams.Drive the design, development, and maintenance of robust test automation frameworks.Establish automation standards, best practices, coding guidelines, and reusable testing components.Identify opportunities to increase automation coverage and reduce manual testing efforts.Design and execute strategies for functional, regression, integration, API, UI, performance, and end-to-end testing.Integrate automated testing into CI/CD pipelines and support continuous quality practices.Work closely with Engineering, Product, DevOps, and other stakeholders to ensure quality throughout the SDLC.Define QA metrics, quality gates, test coverage, defect leakage, automation coverage, and release-quality KPIs.Drive root-cause analysis of critical production defects and implement preventive quality measures.Evaluate and introduce modern testing tools, frameworks, and methodologies.Lead the adoption of AI/Generative AI in Software Testing, including AI-assisted test generation, test-case optimization, defect analysis, test-data generation,



and intelligent automation.Explore and implement AI-powered testing tools and solutions to improve QA productivity and test effectiveness.Evaluate the use of LLMs, AI agents, and AI-assisted development/testing workflows within the QA lifecycle.Establish best practices for testing AI/ML-based applications where applicable.Ensure adequate test planning, risk assessment, release readiness, and quality governance.Collaborate with engineering leadership to improve overall software reliability and engineering quality.Mandatory Technical SkillsAutomation Testing – MandatoryStrong hands-on experience in Test Automation.Experience designing and implementing scalable automation frameworks.Strong experience with tools/frameworks such as:SeleniumPlaywright / CypressAppiumREST Assured / API AutomationPyTest / JUnit / TestNGStrong programming experience in Java, Python, JavaScript, or similar languages.Experience with UI, API, integration, regression, and end-to-end automation.AI – MandatoryCandidates must have practical exposure to AI/Generative AI in QA or software engineering.Experience in areas such as:Generative AI for software testingAI-assisted test-case generationAI-based test automationLLM-based testing solutionsAI-powered defect analysisAI-generated test dataAI agents for QA/testing workflowsPrompt engineeringIntegration of AI tools into QA processesTesting of AI/ML-based applicationsTools/platforms leveraging LLMs for software qualityCI/CD & DevOpsStrong understanding of CI/CD pipelines.Experience with Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or similar tools.Experience integrating automated test suites into CI/CD pipelines.Good understanding of Git and modern DevOps practices.Exposure to cloud environments such as AWS, Azure,



or GCP is preferred.Additional SkillsStrong understanding of Agile/Scrum methodologies.Experience with defect-management and test-management tools such as Jira, Azure DevOps, Zephyr, TestRail, or similar.Good understanding of SDLC/STLC and software quality processes.Experience with performance and security testing is an added advantage.Strong analytical and problem-solving skills.Excellent communication and stakeholder-management skills.Leadership ResponsibilitiesLead and develop a high-performing QA/Quality Engineering team.Set technical direction for automation and AI-driven testing.Conduct technical reviews and establish engineering best practices.Mentor senior QA engineers and automation specialists.Define team objectives, delivery expectations, and quality standards.Partner with senior engineering and product leadership on quality initiatives.Drive continuous improvement across the QA organization.Required Experience13+ years of overall experience in Software Testing / Quality Engineering.Strong experience in Test Automation and Automation Framework Development.Proven experience leading QA/Automation teams.Hands-on experience with AI/Generative AI is mandatory.Experience implementing automation at scale in enterprise or product environments.Strong programming and scripting skills.Experience working in Agile development environments.Preferred Candidate ProfileThe ideal candidate will be someone who:Has progressed from hands-on QA/Automation engineering into QA leadership.Remains technically hands-on and can review or contribute to automation frameworks.Has successfully led large-scale automation initiatives.Has practical experience applying AI/GenAI to software testing and quality engineering.Can balance people leadership with solid technical ownership.Is comfortable working with Engineering, Product, DevOps, and senior leadership.Key Success MetricsAutomation coverage and reliabilityReduction in regression-testing effortDefect detection and preventionProduction defect leakageTest execution efficiencyCI/CD quality-gate adoptionRelease quality and stabilityAdoption and measurable impact of AI-driven testing initiatives

📌 Quality Assurance Manager (Tirupati)
🏢 Questhiring
📍 Tirupati