AI and Automation Test Engineer

5 years

0 Lacs

Posted:3 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role:

Location: Bengaluru/Noida/Ahmedabad/ (Remote/Hybrid)

Experience:5+years

Department: Quality Engineering & Product Assurance

Company: Engineersmind

About the Role

Were seeking a highly driven Senior Application Test Engineer who takes complete ownership of product quality—from concept to customer delivery. You’ll be responsible for end-to-end testing across web, mobile, and API layers, ensuring seamless integration, performance, and security.

You will leverage AI-enabled testing tools to enhance test coverage, automate repetitive tasks, and proactively detect risks before production. This is a hands-on role that requires strong technical depth, problem-solving ability, and a product-centric mindset.

Key Responsibilities


  • Lead end-to-end testing for complex enterprise applications—UI, API, data, and integration layers.
  • Own and drive the complete QA lifecycle, from planning to production release.
  • Design, maintain, and execute automation frameworks using modern AI-based testing platforms (e.g., Testim, mabl, Functionize, Applitools, Katalon AI, Copilot for QA).
  • Conduct API testing with Postman, ReadyAPI, or similar tools—validate performance, data flow, and system integrity.
  • Perform security and vulnerability testing (OWASP, penetration, and data privacy validation).
  • Work closely with development and DevOps teams for continuous testing integration (CI/CD).
  • Document test strategy, traceability, and evidence for compliance (SOC2, HIPAA, GDPR).
  • Bring insights to improve product reliability, client experience, and release velocity.

Required Skills & Experience


  • 5–10 years of QA / application testing experience with proven product ownership.
  • Deep expertise in API testing, performance validation, and data integrity checks.
  • Experience in security testing using tools like Burp Suite, OWASP ZAP, or similar.
  • Hands-on with AI/ML-driven testing platforms or autonomous test generation tools.
  • Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or Azure DevOps).
  • Understanding of cloud environments (AWS, Azure, GCP) and microservices testing.
  • Strong analytical, documentation, and communication skills.
  • Bonus: exposure to Liferay DXP, or healthcare/finance systems.

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