Quality Assurance Manager

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 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 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, Dev Ops, 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 & Dev Ops
Strong understanding of CI/CD pipelines.

Experience with Jenkins, Git Hub Actions, Git Lab CI/CD, Azure Dev Ops, or similar tools.
Experience…