Lead QA Automation Engineer (Data & AI)

We are looking for a Senior QA Automation Engineer with strong expertise in test planning, automation frameworks, API testing, and CI/CD integration , along with hands-on experience in Data platforms and AI/ML pipeline testing . The role requires close collaboration with engineering, data, and DevOps teams to ensure high-quality, scalable, and reliable systems across modern cloud-based architectures.

• Lead test planning, test strategy, and test execution for complex web, API, data, and AI/ML-driven systems
• Design, develop, and maintain automation frameworks using Selenium and Pytest
• Perform API testing (RESTful services) including functional, regression, and integration testing
• Validate data pipelines, ETL workflows, and data quality checks across large datasets
• Test AI/ML pipelines , including model validation, data drift, feature validation, and inference testing
• Integrate automated test suites into CI/CD pipelines to enable continuous testing
• Collaborate with DevOps teams to ensure quality gates in build and deployment pipelines
• Perform root cause analysis and drive defect resolution with engineering teams
• Ensure adherence to QA best practices, SDLC, and Agile methodologies
• Mentor junior QA engineers and contribute to improving overall QA maturity

• 8+ years of experience in Software Quality Assurance and Test Automation
• Strong expertise in Test Planning, Test Strategy, and Test Execution
• Hands-on experience with Selenium , Pytest , and Python-based automation
• Solid experience in API Testing (REST APIs, JSON, Postman / similar tools)
• Proven experience integrating automation with CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions, etc.)
• Experience testing Data platforms, ETL pipelines, and large-scale datasets
• Exposure to AI/ML pipeline testing , including model validation and data quality checks
• Strong understanding of SDLC, Agile/Scrum , and DevOps practices
• Excellent analytical, debugging, and communication skills

• Experience with cloud platforms (AWS / Azure / GCP)
• Knowledge of Docker, Kubernetes , or containerized environments
• Familiarity with performance testing or security testing concepts
• Experience working in cross-functional, globally distributed teams

• Work on cutting-edge Data and AI/ML platforms
• Hybrid work model across Lahore, Karachi, and Islamabad
• Opportunity to influence quality strategy at scale
• Collaborative engineering culture with strong focus on automation and innovation