Q

Quest Global

Engineering services, digital transformation, asset management

Automation Lead

Test Automation EngineeringConfirmed live in the last 24 hours
Full-timeThiruvananthapuram, Kerala, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in software testing.
  • At least 3–5 years of experience leading automation teams and automation initiatives.
  • Experience in verification and validation of engineering applications, preferably in the healthcare domain.
  • Experience in project estimation, planning, execution tracking, and risk management.
  • Ability to define automation key performance indicators, metrics, and reporting mechanisms.
  • Strong understanding of Agile and Scrum methodologies.
  • Python 3.10 or later, including strong typing with type hints, data classes, enums, and generics.
  • Experience with test automation frameworks, particularly pytest fixtures, markers, parametrization, and plugins.
  • Experience with Selenium or Appium, including WebDriver, element interactions, and XPath construction.
  • Knowledge of object-oriented design, SOLID principles, and design patterns including Page Object Model, Strategy, Builder, and Observer.
  • Experience with version control using Git, including branching, commits, and hooks.
  • Experience with Visual Studio Code, including extensions, workspace configuration, tasks, and launch configurations.
  • Experience with AI-assisted development using GitHub Copilot, prompt engineering, and reviewing and validating AI-generated code.
  • Experience with ALM, ClearQuest, Rally, or other test management tools.
  • Experience working in Linux environments.
  • Experience creating, configuring, troubleshooting, and maintaining Jenkins pipelines for automated test execution, reporting, and continuous integration.

Responsibilities

  • Lead the design, development, implementation, and maintenance of enterprise-scale test automation frameworks.
  • Define automation strategy, standards, best practices, and governance across projects.
  • Manage and mentor automation engineers, conduct technical reviews, and support their career growth.
  • Provide technical leadership in framework architecture, tool selection, and automation roadmap planning.
  • Collaborate with customers and stakeholders to understand testing requirements and provide automation solutions.
  • Drive test automation adoption across functional, integration, regression, and end-to-end testing.
  • Review automation code quality, ensure adherence to coding standards, and promote reusable framework components.
  • Analyze automation results, identify product issues, and work with development teams to resolve them promptly.
  • Lead estimation, planning, risk management, and project execution activities.
  • Ensure timely delivery of automation solutions while maintaining quality and compliance requirements.
  • Drive continuous improvement initiatives using AI-assisted development and modern automation practices.
  • Participate in release planning, sprint ceremonies, and quality governance reviews.
  • Conduct framework and automation architecture reviews.
  • Drive automation maturity assessment and transformation initiatives.
  • Establish coding standards and automation best practices.
  • Support recruitment, onboarding, and technical evaluation of automation engineers.
  • Facilitate knowledge-sharing sessions and technical training programs.
  • Ensure compliance with healthcare quality standards and regulatory requirements.

Desired Qualifications

  • Experience testing medical modality software or medical imaging platforms on XR platforms.
  • Knowledge of healthcare standards and regulations such as DICOM, IHE, and HIPAA.
  • Familiarity with WinSCP, PuTTY, Rally, Perforce, or similar tools.
  • Experience in verification and validation of engineering applications in the healthcare domain.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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