Lead QA Automation Engineer (Data & AI)

Job Description
Position: Senior QA Automation Engineer Data & AI Platforms
Experience: 8 Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Employment Type: Full-Time

Role Overview

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.

Key Responsibilities

• 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

Required Skills & Experience

• 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

Nice to Have

• 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

Why Join Us

• 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