Senior Python Automation QA Engineer with AWS (f/m/x)

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
Job no. JOB-7DZUV
Sii ensures that all hiring decisions are made solely on the basis of qualifications and competence. We are committed to equal and fair treatment of all, regardless of legally protected characteristics. At Sii, we promote a diverse and inclusive work environment, in full compliance with applicable anti-discrimination laws.
Benefits For You
Diverse portfolio of clients
Wide portfolio of technologies
Employment stability
Remote work opportunities
Contracts with the biggest brands
Great Place to Work Europe
Many experts you can learn from
Open and accessible management team

Work arrangement
Yes