Python Automation Tester
@ 2T ConsultingPython Automation Tester
About the job
A company focusing on AI/ML model hosting platforms, seeking a Python Automation Tester to lead testing, automation, and cloud service integrations.
Requirements
- Python development experience
- API testing with Postman
- UI automation tools usage
- Performance testing skills
- AWS cloud services knowledge
Qualifications
- Strong automation framework experience
- Understanding of testing methodologies
- CI/CD practices familiarity
- Experience with load testing tools
Full job description
We are looking for a Python Automation Tester with strong experience in test automation, API/UI testing, performance testing, and AWS cloud services. The candidate will be responsible for leading testing activities for an AI/ML model hosting platform.
Key Responsibilities
- Develop and maintain Python-based automation frameworks, scripts, and performance benchmarks.
- Perform UI automation using Selenium, Playwright, or Cypress.
- Conduct backend API testing using Postman, Newman CLI, collections, and environments.
- Perform performance and load testing using LoadRunner and VuGen.
- Test AWS-based applications and services including ECS, Lambda, S3, DynamoDB, CloudWatch, API Gateway, and Step Functions.
- Lead test strategy, planning, execution, and defect management across release cycles.
- Validate both frontend features and backend APIs for AI/ML platform functionality.
- Collaborate with development, cloud, and engineering teams to identify and resolve issues.
- Contribute to QA process improvements and automation best practices.
Required Skills
- Strong Python development and test automation experience.
- Hands-on experience with Selenium, Playwright, or Cypress.
- Strong API testing experience with Postman and Newman CLI.
- Experience with LoadRunner/VuGen for performance testing.
- Hands-on experience with AWS cloud services.
- Strong understanding of automation frameworks, testing methodologies, and CI/CD practices.
Nice to Have
- Experience with PyTorch, TensorFlow, or vLLM.
- Knowledge of AI/ML model lifecycle management.
- Experience mentoring junior QA engineers or establishing QA processes.
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