Python Automation Lead with SIP Protocol | 6 to 12 yrs | Bangalore Gurgaon Chennai

6 - 10 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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Job Description

At Capgemini Engineering, the global leader in engineering services, we are dedicated to bringing together a team of engineers, scientists, and architects from around the world to assist the most innovative companies in realizing their full potential. Our digital and software technology experts specialize in out-of-the-box thinking to provide exceptional R&D and engineering services across various industries. Join our team for a career filled with endless opportunities where you can truly make a difference, and where each day presents new and exciting challenges. You should possess strong programming skills in Python or a similar language utilized for test automation. Additionally, proficiency in automation tools/frameworks like Selenium, Appium, or Cypress is essential. Experience with dev-ops pipeline bring up and tools such as SonarQube and Coverty is required. Hands-on experience with CI/CD tools like Jenkins, GitLab CI, or GitHub Actions is a must. Familiarity with database query tools (SQL) and performance monitoring tools is necessary. Exposure to Networking (TCP/IP), Security (TLS), and VoIP (SIP) is considered advantageous. Primary Skills: - Lead Experience - Python Automation - SIP protocol Experience/Working knowledge - CI/CD tools like Jenkins, GitLab CI, or GitHub Actions Capgemini is a distinguished global business and technology transformation partner, committed to aiding organizations in accelerating their transition to a digital and sustainable world. With a team of over 340,000 members in more than 50 countries, Capgemini is a responsible and diverse group offering a 55-year heritage of trust. Clients rely on Capgemini to unlock the value of technology to meet their comprehensive business requirements. The company provides end-to-end services and solutions, leveraging expertise from strategy and design to engineering, supported by leading capabilities in AI, generative AI, cloud, and data. This is further enhanced by deep industry knowledge and a robust partner ecosystem.,

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