Python Developers

Job Description

A Python developer is responsible for designing, coding, and deploying server-side applications. This involves using Python and related technologies to build efficient, scalable, and robust backend systems, APIs, and integrations with front-end applications and databases.

Qualifications

• Any Graduation (B.Tech / B.E. in computer science or related field)
• Experience: 3+ years
• Shift Type: Afternoon shift
• Location: Chicago, Illinois, USA
• Number of Openings: 3

Required Skills & Qualifications

• Bachelor's degree in computer science, engineering, or a related field.
• 4+ years of experience in software testing and test automation.
• Strong proficiency in Python, with working knowledge of Java and JavaScript.
• Experience with test automation frameworks such as PyTest, JUnit, and TestNG.
• Familiarity with RESTful APIs, API testing tools like Postman, and related automation.
• Experience integrating automated tests with CI/CD tools, particularly GitLab CI.
• Hands-on experience with SonarQube, including setup, integration, and report analysis.
• Experience using coding assistants (e.g., GitHub Copilot / GHCP) for generating tests and improving productivity.
• Solid understanding of QA methodologies, software development life cycles, and Agile practices.

Workplace

Work From Office

Key Responsibilities

• Design, develop, and maintain automated test suites for API-centric applications.
• Collaborate with developers, QA engineers, and product managers to analyze requirements and develop comprehensive test plans and test cases.
• Integrate automated tests into CI/CD pipelines to support continuous testing and fast delivery cycles.
• Develop and enhance test automation frameworks, tools, and strategies for functional and regression testing.
• Monitor and report on test coverage, test performance, and application reliability.
• Use SonarQube for static code analysis, integrating it with CI/CD tools and customizing quality gates.
• Generate actionable reports on code quality, bugs, vulnerabilities, and code smells using SonarQube.
• Utilize coding assistants (e.g., GitHub Copilot) to generate unit and functional test code as needed.