AI-Driven Quality Assurance Professional

7 days ago

Jamnagar, Gujarat, India beBeeAutomation Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Automation Quality Assurance Engineer

We are a pioneering enterprise transformation organization that delivers scalable execution across various industries. Our focus is on enhancing the human workforce by building bespoke AI employees across business functions, innovating swiftly and executing with trust.

We collaborate with early-stage startups in their growth journey as a venture builder, bringing AI-native products to life.

Role Overview

We seek a seasoned QA Automation Engineer with 4+ years of experience to join our high-performing team. This role involves designing, implementing, and scaling automation frameworks to ensure product quality across diverse AI-driven projects.

Main Responsibilities
  • Design and Development: Design, develop, and maintain automation frameworks for web, mobile, and API testing.
  • Collaboration: Work with product managers, developers, and AI engineers to define test strategies and acceptance criteria.
  • End-to-End Automation: Drive end-to-end automation to improve coverage, speed, and reliability of releases.
  • Testing: Perform functional, regression, performance, and integration testing.
  • Mentorship: Mentor junior QA engineers and contribute to best practices in test automation.
  • Process Improvement: Identify gaps in processes and proactively improve CI/CD pipelines with automated quality gates.
Requirements
  • 4+ years of experience in QA with a strong focus on automation testing.
  • Proficiency in tools such as Selenium, Cypress, Playwright, or Appium.
  • Strong experience with API testing frameworks (e.g., Postman, REST Assured).
  • Hands-on knowledge of CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI).
  • Experience with at least one programming language (Java, Python, or JavaScript/TypeScript).
  • Good understanding of SDLC, Agile methodologies, and QA best practices.
  • Strong problem-solving and communication skills.
Nice to Have
  • Experience with AI/ML product testing or data-heavy applications.
  • Exposure to cloud platforms (AWS, GCP, Azure).
  • Familiarity with performance testing tools (JMeter, Locust).

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