Job Description – QA Manager | Automation & AI
Position: QA Manager / QA Engineering Manager
Experience: 13+ Years
Employment Type: Full-Time
Work Location: [Location]
Work Mode: [Hybrid / Work From Office / Remote]
About the Role
We are looking for an experienced and technically robust 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 Responsibilities
Define 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 Skills
Automation Testing – Mandatory
Strong hands-on experience in Test Automation .
Experience designing and implementing scalable automation frameworks.
Strong experience with tools/frameworks such as:
Selenium
Playwright / Cypress
Appium
REST Assured / API Automation
PyTest / JUnit / TestNG
Strong programming experience in Java, Python, JavaScript, or similar languages .
Experience with UI, API, integration, regression, and end-to-end automation.
AI – Mandatory
Candidates must have practical exposure to AI/Generative AI in QA or software engineering .
Experience in areas such as:
Generative AI for software testing
AI-assisted test-case generation
AI-based test automation
LLM-based testing solutions
AI-powered defect analysis
AI-generated test data
AI agents for QA/testing workflows
Prompt engineering
Integration of AI tools into QA processes
Testing of AI/ML-based applications
Tools/platforms leveraging LLMs for software quality
CI/CD & DevOps
Strong 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 Skills
Strong 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 Responsibilities
Lead 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 Experience
13+ 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 Profile
The 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 strong technical ownership.
Is comfortable working with Engineering, Product, DevOps, and senior leadership.
Key Success Metrics
Automation coverage and reliability
Reduction in regression-testing effort
Defect detection and prevention
Production defect leakage
Test execution efficiency
CI/CD quality-gate adoption
Release quality and stability
Adoption and measurable impact of AI-driven testing initiatives

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