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NorthBay - Pakistan • Islamabad, Islamabad Capital Territory, Pakistan
Role & seniority: Senior QA Automation Engineer – Data & AI Platforms (8+ years)
Stack/tools: Selenium, Pytest, Python; API testing (REST/JSON); Postman or equivalents; CI/CD integrations (Jenkins, GitLab CI, GitHub Actions); data platforms, ETL pipelines; AI/ML pipeline testing
Lead test planning, strategy, and execution for web, API, data, and AI/ML-driven systems
Design, develop, and maintain automation frameworks; validate data pipelines/ETL and AI/ML pipelines
Integrate automated tests into CI/CD; collaborate with DevOps; mentor junior QA engineers
8+ years in Software QA and Test Automation
Strong test planning, strategy, and execution
Hands-on Selenium, Pytest, Python automation
API testing experience (REST, JSON)
CI/CD integration experience (Jenkins, GitLab CI, GitHub Actions)
Data platform/ETL testing and large-scale data validation
AI/ML pipeline testing (model validation, data quality checks)
SDLC/Agile/DevOps proficiency; strong analytzc and debugging
Cloud platforms (AWS/Azure/GCP)
Docker/Kubernetes/containerized environments
Performance or security testing concepts
Experience in globally distributed, cross-functional teams
Location & work type: Hybrid (Lahore, Karachi, Islamabad) | Full-time
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 Show more Show less