Job description
Job Description
Position: Senior QA Automation Engineer – Data & AI Platforms
Experience: 8+ Years
Location: Lahore / Karachi / Islamabad (Hybrid)
Employment Type: Full-TimeRole OverviewWe 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
This job post has been translated by AI and may contain minor differences or errors.
