Lead QA Automation Engineer (Data & AI)

Job description

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 pip...eline 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

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