Automation Engineer - Selenium with Python

• Perform system, integration, API, smoke, regression, and end-to-end testing.
• Develop and execute automated tests using Python, Pytest, GraphQL, and Selenium.
• Validate AI model serving, inference results, and HALO AP integration against approved requirements.
• Verify deployment artifacts, including application images, model versions, configurations, and access settings.
• Troubleshoot failures across applications, APIs, Kubernetes, AWS infrastructure, and integrations.
• Validate EKS/Kubernetes workloads, GPU availability, S3 access, DynamoDB lifecycle, CloudWatch logs, metrics, and autoscaling.
• Test negative scenarios, error handling, retries, recovery, alarms, and rollback.
• Manage defects, perform root-cause analysis, and maintain test evidence for regulated release acceptance.

Required Skills

• System, integration, API, automation, and UI testing.
• Python, Pytest, GraphQL, and Selenium.
• AWS: EKS, S3, DynamoDB, CloudWatch, ECR, and GPU workloads.
• Docker, Kubernetes, Terraform, Helm, and CI/CD fundamentals.
• Test design, defect management, regression testing, and root-cause analysis.
• Experience working with requirements, acceptance criteria, and regulated validation processes.