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QA Engineer

New Delhi | On-site | Full time (Engineering)

Description


About us

CARPL.ai is a vendor-neutral Artificial Intelligence (AI) platform that allows radiologists to access, assess, and integrate radiology AI solutions in their clinical practice. CARPL provides a single user interface, a single data channel, and a single procurement channel for the testing, deployment, and monitoring of AI solutions in clinical radiology workflows. We are the world’s largest radiology AI marketplace offering 200+ applications from 85+ AI vendors. 


What You'll Do (Responsibilities)

  • Develop and execute detailed test plans, test cases, and test scripts.
  • Perform functional, regression, performance, and usability testing.
  • Identify, document, and track software defects and inconsistencies.
  • Automate test cases and improve test coverage using industry-standard tools.
  • Collaborate with developers and product managers to define testing requirements and acceptance criteria.
  • Conduct root cause analysis of issues and work with the development team for resolution.
  • Maintain and enhance the existing test framework and CI/CD pipelines.
  • Ensure compliance with quality standards and best practices.

Skills & Experience (Required)

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 2+ years of experience in software quality assurance.
  • Proficiency in automated testing tools (e.g., Selenium, Cucumber).
  • Strong understanding of software testing methodologies, tools, and processes.
  • Experience with test management tools (e.g., JIRA).
  • Experience with programming languages (e.g., Python, JavaScript).
  • Experience with CI/CD tools (e.g., Jenkins, GitLab).
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Skills

  • Experience with performance and security testing.
  • Knowledge of API testing (e.g., Postman, REST Assured).
  • Experience in Agile/Scrum environments.
  • Familiarity with cloud-based infrastructure (e.g., AWS, Azure).

Unlock the potential of CARPL platform for optimizing radiology workflows

Talk to a Clinical Solutions Architect