Python QA Automation Engineer (API Testing)

Required Skills:

• Proficiency in Python (3-5 years of hands-on experience) with expertise in developing automation scripts and frameworks.
• Experience with Python libraries such as requests, Selenium, PyAutoGUI, Pandas, or similar tools for automation and data handling.
• Knowledge of API integration, including working with RESTful services and automating API testing.
• Familiarity with version control systems such as Git.
• Experience working with automated testing frameworks like PyTest, unittest, or similar.
• Working knowledge of operating systems such as Windows and Linux.
• Experience in scripting for automation of manual tasks, testing, or deployment activities.
• Strong troubleshooting, analysis, and problem-solving skills.

Preferred Skills:

• Familiarity with CI/CD tools such as Jenkins, GitLab CI, CircleCI, etc.
• Experience with automation in cloud environments (AWS, Azure, GCP).
• Knowledge of containerization technologies like Docker.

• Design, develop, and maintain automation scripts and frameworks to streamline testing, deployment, and operational workflows.
• Identify automation opportunities across teams and develop scalable, reliable solutions.
• Collaborate with QA, DevOps, and IT teams to automate manual tasks and system workflows.
• Develop and execute automated tests to improve product quality assurance processes.
• Monitor, troubleshoot, and optimize automation scripts for performance, security, and reliability.
• Document automation processes, scripts, and workflows thoroughly.
• Stay current with emerging automation tools, libraries, and best practices in Python.

Strategic objectives:

• Accelerate delivery cycles by reducing manual intervention through robust automation.
• Improve software quality and reliability via continuous automation and testing.
• Support operational excellence through scalable, maintainable automation solutions.

Performance outcomes:

• Automation scripts with high reliability, maintainability, and efficiency.
• Increased test coverage and faster test execution times.
• Reduction in manual testing efforts and operational errors.

Programming Languages:

• Essential: Python (strong expertise in scripting and automation).
• Preferred: Additional scripting languages such as Bash or PowerShell.

Frameworks & Libraries:

• Essential: Requests, Selenium, PyAutoGUI, Pandas, and automated testing frameworks like PyTest or unittest.
• Preferred: Familiarity with additional frameworks like Robot Framework or Appium.

APIs & Data Management:

• Extensive experience working with REST APIs, including automation of API testing and validation.

Tools & Platforms:

• Version control systems (Git).
• CI/CD tools such as Jenkins, GitLab CI, CircleCI.
• Cloud environments like AWS, Azure, or GCP for automation deployment and scaling.

Development Methodologies:

• Agile/Scrum, with experience integrating automation into sprint cycles.
• Process automation and scripting best practices.

Security & Compliance:

• Basic understanding of security considerations in automation scripts and data handling.

• 3-5 years of relevant experience in Python-based automation testing and scripting.
• Proven experience automating testing for enterprise applications or complex systems.
• Ability to integrate automation solutions across multiple systems and teams.
• Industry experience in financial, healthcare, retail, or technology domains is a plus.

• Develop and maintain automation scripts and frameworks supporting testing, deployment, and operational workflows.
• Collaborate with QA, DevOps, and IT teams to identify automation solutions for manual tasks.
• Execute automated test suites across different environments, analyze results, and report defects.
• Troubleshoot and optimize automation scripts to improve speed, reliability, and security.
• Maintain comprehensive documentation for scripts, workflows, and processes.
• Participate in scrum ceremonies, planning, and retrospectives, ensuring continuous improvement in automation maturity.
• Stay updated on new automation tools, libraries, and best practices.

• Bachelors degree in Computer Science, Information Technology, or related field.
• Certification or training in Python automation, testing, or related areas is preferred.
• Proven ability to quickly learn new tools and adapt automation practices accordingly.

• Strong analytical and problem-solving skills.
• Excellent communication skills to articulate technical details clearly.
• Proven ability to work collaboratively in cross-functional teams.
• Adaptability to new tools, techniques, and evolving project needs.
• High attention to detail to ensure high-quality automation solutions.
• Time management skills to prioritize tasks effectively.