– 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, 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 solid 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

📌 Quality Assurance Manager (Salem)
🏢 Questhiring
📍 Salem