Sr Python Automation QA Engineer with AWS

Technologies tools

Must have

Python AWS Git REST CI/CD

Nice to have

Selenium Playwright Cypress Docker Kubernetes JIRA

We are looking for a Senior QA Automation Engineer / SDET to drive quality engineering for complex product features. The role combines strong test automation and technical QA expertise with hands-on experience in APIs, cloud environments, CI/CD, and application troubleshooting. You will also use AI tools and practices as part of your daily engineering workflow, helping accelerate test design, analysis, documentation, and quality improvements while applying sound QA judgment.

Your tasks

• Planning, designing, and executing functional and regression testing for complex product features
• Building and maintaining UI and API automation solutions as the product evolves
• Analyzing APIs, application logs, code, and test results to identify defects and assess product risks
• Using AI tools in daily QA workflows to accelerate test ideation, analysis, documentation, and engineering activities while validating generated results
• Assessing AI use cases and collaborating with cross-functional teams to adopt practical AI solutions that improve product quality
• Supporting testing and delivery activities across AWS environments and cloud services
• Collaborating with developers and cross-functional teams to reproduce defects, identify risks early, and improve delivery quality
• Managing test automation code through Git, including branching, pull requests, and collaborative development practices
• Adapting to existing automation frameworks and contributing to the continuous improvement of testing approaches
• Maintaining testing documentation, reporting quality risks, and communicating findings clearly to technical and business stakeholders

Requirements

• Minimum 5 years of professional experience in QA, SDET, or test automation, with a strong focus on automation
• Proficiency in test automation with the ability to develop and maintain automated UI and API tests
• Solid technical knowledge of APIs, application logs, CI/CD pipelines, and source code analysis
• Hands-on experience with AWS environments and cloud services, including supporting testing and delivery of workloads migrated to AWS
• Practical knowledge of Git, including branching, pull requests, and collaborative development of automation code
• Strong understanding of functional and regression testing, defect investigation, risk analysis, and software quality practices
• Advanced knowledge of AI concepts and AI-assisted engineering practices, with practical use of AI tools in QA workflows
• Ability to independently plan and execute testing activities with minimal supervision
• Strong analytical and problem-solving capabilities with excellent attention to detail
• Clear communication skills and the ability to collaborate effectively with developers and cross-functional teams
• Fluent English - minimum B2 level

Nice to have

• Experience with modern UI/API automation frameworks such as Selenium, Playwright, or Cypress
• Knowledge of Docker, Kubernetes, or cloud-native application environments
• Exposure to additional CI/CD, monitoring, or test management tools
• Familiarity with AI-powered testing, test generation, defect analysis, or other AI-assisted quality engineering use cases
• Opportunity to contribute to AI adoption and modern quality engineering practices in a technically advanced environment

Disclaimer: This job posting and Location has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.