TechBliss Digital Solution Pvt. Ltd.
Senior Quality Assurance Engineer (Automation & AI Testing)
Skills
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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