Python Automation Engineer

As discussed, sharing your profile for Python Automation Engineer for our leading client MCX on the direct payroll on Cinntra infotech. Kindly acknowledge on same and share your availability for F2F .

Exp- 4+ Years

Job location: Mumbai -5 days WFO

Interview mode: F2F @ client location(Mandatory)

NP: Immediate- max 15 days(Kindly acknowledge that you can join by 15th-20 th nov)

Job summary:

• Key Responsibilities: -

• •Job Description Python Automation Engineer

• Position Summary

• We are seeking a skilled Python Automation Engineer to join our QA/Testing team. The role involves designing, developing, and maintaining automation frameworks and test scripts using Python, ensuring product quality and reliability across applications, APIs, and systems.

• Key Responsibilities

• Design, develop, and maintain automated test scripts using Python.
• Build and enhance test automation frameworks for web, API, and backend testing.
• Collaborate with developers, business analysts, and QA teams to understand requirements and create test plans.
• Execute functional, regression, integration, and end-to-end testing using automation tools.
• Perform API testing (REST/SOAP) with Python libraries such as requests, httpx, or pytest.
• Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
• Debug test failures, analyze root causes, and report defects in bug-tracking tools (JIRA, Bugzilla, etc.).
• Ensure test data management, environment setup, and continuous improvement of testing processes.
• Stay updated on test automation trends, tools, and best practices.

• Required Skills

• Strong experience in Python programming for automation.
• Hands-on expertise with automation frameworks (e.g., Pytest, Robot Framework, Unittest, Behave).
• Experience in Selenium / Playwright / Appium for web and mobile testing.
• Strong knowledge of API testing using Python.
• Experience with Git/GitHub/GitLab for version control.
• Familiarity with CI/CD pipelines and tools like Jenkins, GitLab CI, or Azure DevOps.
• Solid understanding of software testing methodologies (Agile, Scrum).
• Good knowledge of SQL for database validation.
• Strong problem-solving and debugging skills.
• Experience in PyTesting

• Preferred Skills (Good to Have)

• Experience in cloud-based testing environments (AWS, Azure, GCP).
• Exposure to performance testing tools (JMeter, Locust).
• Knowledge of Docker/Kubernetes for containerized test environments.
• Familiarity with BDD frameworks (Behave, Cucumber).

• Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.