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Senior Quality Assurance Engineer (Automation & AI Testing)

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Onsite

Senior Quality Assurance Engineer (Automation & AI Testing)

TechBliss Digital Solution Pvt. Ltd.

Senior Quality Assurance Engineer (Automation & AI Testing)

Skills

SQL QueriesTypescriptPythonJavaTesting & QAPostmanSeleniumPlaywrightCypressAIGitHubJiraSupply ChainJavascriptAzure

19 days ago

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Important information


Contract type:

Permanent

Location:

Panara, Madhya Pradesh 480551, India

Work mode:

Onsite

Published on:

7 October 2026

What they need


Designation: Senior Quality Assurance Engineer (Automation & AI Testing)

Location : Remote

Experience : 7+ Years

Note: Airline Cargo Experience is Must for this opening , if you are having same please share your profile.

Experience

  • 7+ years of hands-on experience in Software Quality Assurance.
  • Minimum 4 years of practical automation testing experience.
  • Experience working within Agile/Scrum delivery environments.
  • Proven experience testing enterprise-scale web applications, APIs, integrations, and digital platforms.
  • Demonstrated experience working closely with Product Owners, Developers, and Business Stakeholders.
  • Experience in Air Cargo, Freight Forwarding, Logistics, Supply Chain, Transportation, or Airline domains is highly desirable.
  • Candidates with strong QA, automation, API testing, and enterprise application testing experience from other industries will also be considered.
  • Knowledge of IATA cargo standards, cargo booking processes, shipment lifecycle management, or airline industry workflows will be an advantage but is not a mandatory requirement.

Technical Skills

Hands-on experience with the following technologies and tools:

  • Playwright, Selenium, or Cypress
  • Postman
  • REST API Testing
  • SQL
  • JIRA
  • Azure DevOps
  • Git
  • CI/CD Pipelines
  • JMeter or equivalent performance testing tools

Experience with JavaScript, TypeScript, Java, Python, or similar programming/scripting languages is advantageous.

AI & Modern QA Skills

Practical experience using AI-enabled quality engineering capabilities, including:

  • GitHub Copilot
  • Microsoft Copilot
  • ChatGPT or Enterprise AI Assistants
  • AI-Based Test Automation Platforms
  • AI-Assisted Test Case Generation
  • Self-Healing Test Automation Frameworks

Candidates should be able to demonstrate real-world examples of how AI has improved their testing productivity, coverage, defect identification, or automation efficiency.

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