Question
FULL_TIME
10+

Lead QA Automation Engineer (Data & AI)

2/1/2026

Lead test planning, strategy, and execution for complex systems including web, API, data, and AI/ML-driven systems. Collaborate with engineering and DevOps teams to ensure high-quality and reliable systems.

Working Hours

40 hours/week

Company Size

201-500 employees

Language

English

Visa Sponsorship

No

About The Company
NorthBay is AWS Premier Consulting Partner and also partnered with AI21 Labs, VMware, CloudRail and SAP in support of our Customers’ AWS cloud journeys. NorthBay helps companies transform their business by unlocking the value of their data in the cloud so they can gain agility and speed in their decision making and innovation. Our specialities include: - Generative AI - Managed Service Provider - Cloud Migration and Modernization Services - Cloud Application Development - Data Lake/Data Warehouse - Machine Learning & AI - DevOps Enablement - Staff Augmentation - Performance & Optimization.
About the Role

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
Key Skills
Test PlanningTest StrategyTest ExecutionSeleniumPytestPythonAPI TestingREST APIsCI/CDETLData QualityAI/MLDebuggingCommunicationAgileDevOps
Categories
TechnologyData & AnalyticsSoftwareEngineering
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