Lead Python

1 day ago

Bengaluru, Karnataka, India Spanidea Full time US$ 90,000 - US$ 1,20,000 per year

Key Responsibilities

  • Framework Development: Design, enhance, and maintain automation frameworks using Python and Groovy.
  • Mobile Automation: Implement and optimize automation solutions for mobile applications using Appium.
  • Test Execution: Write, review, and execute test cases using Pytest and other automation tools.
  • Version Control: Manage code repositories and workflows using Git.
  • CI/CD Integration: Build and maintain CI/CD pipelines for automated testing using tools such as Jenkins, GitLab CI, or similar.
  • Debugging & Issue Resolution: Troubleshoot, debug, and optimize test scripts for stability and performance.
  • Agile Practices: Actively participate in Agile/Scrum ceremonies, sprint planning, and backlog grooming.
  • Team Leadership: Mentor and guide junior automation engineers, ensuring best coding practices and quality standards.
  • Collaboration: Work closely with developers, QA engineers, and product managers to ensure seamless automation integration.

Required Skills & Qualifications

  • Programming Languages: Python (Expert), Groovy (Proficient).
  • Automation Tools: Appium, Pytest.
  • Version Control: Git (branching, merging, pull requests).
  • CI/CD: Jenkins, GitLab CI, or similar tools.
  • Debugging: Strong analytical and problem-solving skills for debugging automation scripts.
  • Methodologies: Agile & Scrum.
  • Leadership: Proven experience in leading automation teams and driving automation strategies.
  • Experience: 7+ years of overall development/automation experience with at least 2 years in a lead role.
  • Education: Bachelors or Masters degree in Computer Science, Engineering, or related field.

Preferred Skills

  • Experience with Selenium or other web automation frameworks.
  • Knowledge of cloud-based test execution platforms (e.g., BrowserStack, Sauce Labs).
  • Exposure to API testing frameworks (e.g., REST Assured, Postman automation).
  • Familiarity with containerization (Docker, Kubernetes) for test environments.

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