Lead QA Automation Engineer (Data & AI)

Lahore, Punjab, Pakistan

Full Time

Quality Assurance

Experienced

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

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