QA Manager

10Pearls; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading digital innovation company is seeking a Quality Assurance Manager to lead their QA team. This role emphasizes automation and AI-assisted testing, requiring a strategic leader with extensive experience in quality engineering and agile methodologies. The successful candidate will implement best practices, oversee the QA lifecycle, and leverage AI to enhance testing processes. Join a dynamic team dedicated to delivering quality solutions and driving innovation in a collaborative environment.

Qualifications

• 8+ years in QA leadership with focus on automation and AI.
• Expertise in agile testing techniques and automation frameworks.

Responsibilities

• Lead QA team with focus on automation and AI-assisted testing.
• Implement agile testing techniques and drive continuous improvement.

Skills

Leadership

Agile Methodologies

Automation Testing

AI Techniques

Education

Degree in Computer Science

Tools

Selenium

Appium

Cypress

Jenkins

GitLab CI

TensorFlow

PyTorch

JMeter

Job description

Company Overview

10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named as winner of the Best Tech Work Culture Timmy Award in Washington DC by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just the facts. What makes us unique is that we have true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well, while doing good and know how to balance the two.

Role

We are currently seeking an experienced, results-driven Quality Assurance Manager to lead our QA team, with a primary focus on automation and AI-assisted testing. This is an exciting opportunity for someone passionate about quality engineering, cutting-edge technology, and leading high-performing teams.

Responsibilities

• Implement and drive agile testing techniques and best practices throughout QA teams
• Leading QA engineers and automation testers, fostering cross functional collaboration, and ensuring clear test results, metrics, and quality issues to stakeholders
• Develop and execute a strategic roadmap for QA automation, incorporating AI-assisted tool and techniques, ensuring alignment with business and technical goals
• Design, implement, and maintain end-to-end automation frameworks for functional, regression, and performance testing
• Leverage AI and Machine Learning to enhance test case generation, anomaly detection, and predictive analytics in the testing process
• Lead efficient implementation and continuous improvement of Agile methodologies (Scrum, Kanban, etc.) within the team
• Oversee planning and execution of the full QA lifecycle and ensuring proper test coverage across releases. Ensure that the process is fully integrated into Agile sprints, emphasizing continuous delivery and test-driven development (TDD)
• Define and monitor key quality metrics to track progress and identify areas for improvement
• Provide detailed reports on automation test results and system performance, making recommendations for improvement
  
  

Requirements

• Proven experience (8+ years) in a QA leadership or management role, with a focus on test automation and AI-driven solutions
• Extensive experience of implementing agile testing techniques and best practices
• Expertise in developing and maintaining automation frameworks (e.g., Selenium, Appium, Cypress, etc.)
• Hands-on experience with AI techniques applied to QA automation (e.g., AI-driven testing, anomaly detection, predictive analytics)
• Familiarity with cloud-based testing and containerized environments (e.g., Docker, Kubernetes)
• Strong knowledge of AI/ML tools for test automation, including TensorFlow, PyTorch, or other relevant libraries
• Strong experience with test management and CI/CD tools (e.g., Jenkins, GitLab CI, Bamboo, Testrail)
• Familiarity with testing frameworks such as JUnit, TestNG, or Mocha
• Experience with performance and load testing tools (e.g., JMeter, Gatling, LoadRunner)
• Proven leadership skills in building and nurturing high-performing teams, with a strategic and entrepreneurial mindset to drive growth and innovation
• Able to set realistic expectations within the team and across all stakeholders while also bringing creative solutions to challenges, ensuring continued effective progress in managing stakeholder expectations
• A degree in Computer Science, Engineering, or a related field
• Relevant certification (in scrum, agile, or agile testing)
  
  

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