Python Automation Test Engineer

Key Responsibilities

• Develop, enhance, and maintain Python-based automation scripts and tools to automate repetitive tasks and operational workflows.
• Design and implement automation frameworks for data processing, system tasks, and quality assurance (QA) validation.
• Operate comfortably and troubleshoot issues within Linux environments, utilizing shell scripting for system service management, monitoring, and networking basics.
• Integrate automation solutions with Continuous Integration/Continuous Deployment (CI/CD) pipelines (e.g., Jenkins, GitLab CI, GitHub Actions).
• Collaborate with cross-functional teams, including DevOps, QA, and Development, to identify automation opportunities and improve overall efficiency.
• Create comprehensive unit and integration tests to ensure software reliability and prevent regressions.
• Monitor and troubleshoot automation process failures, providing problem resolution and ensuring smooth operation.
• Write clear, detailed technical documentation and runbooks for processes, scripts, and configurations.

Required Skills and Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
• Proven professional experience in developing automation solutions using Python.
• Strong proficiency with Linux operating systems (shell, processes, permissions, basic networking, and bash scripting).
• Hands-on experience with automation frameworks such as PyTest, Selenium, Robot Framework, or custom Python frameworks.
• Experience with version control systems, specifically Git-based workflows.
• Knowledge of REST API automation using Python modules like requests.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication skills and the ability to work effectively in an Agile team environment.

Preferred Skills and Experience

• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with cloud platforms such as AWS, Azure, or GCP and their automation SDKs (e.g., boto3).
• Knowledge of data processing or ETL pipelines.
• Experience in a software testing or quality assurance (QA) role.