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Senior QA Automation Engineer – Data & AI Platforms

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NorthBay

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Location:
Pakistan , Lahore ▼

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Category:
IT - Software Development

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Salary:

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Job Description:

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.

Job Responsibility:

  • 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

Requirements:

  • 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
What we offer:
  • 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

Additional Information:

Job Posted:
February 10, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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