CheckPoint QA Automation Engineer 

United States 

216231112

Work will include maintenance of servers software and OS, scaling our system, tuning of systems, deployment of our application to production environments and monitoring.

• Develop and maintain automated test frameworks using Python and Pytest for infrastructure components.
• Implement Behavior-Driven Development (BDD) practices to create clear and concise test scenarios and specifications.
• Design and execute comprehensive test suites for infrastructure systems deployed on AWS.
• Collaborate with cross-functional teams to understand testing requirements and incorporate them into the automation strategy.
• Scale and optimize test automation infrastructure to handle massive production tests efficiently.
• Monitor and analyze test results using Grafana to identify performance bottlenecks and areas for improvement.
• Generate detailed test reports using Allure to provide stakeholders with insights into test coverage, results, and trends.
• Investigate and troubleshoot issues discovered during testing, working closely with development teams to resolve them.
• Stay up-to-date with industry best practices and emerging technologies in test automation and infrastructure testing.
• Mentor junior team members and provide guidance on test automation techniques and best practices.

• Bachelor's degree in Computer Science, Engineering, or related field.
• Proven experience (5 years) in test automation with a focus on infrastructure testing.
• Proficiency in Python programming language and experience with Pytest framework.
• Strong understanding of Behavior-Driven Development (BDD) principles and experience with related tools such as Cucumber or Behave.
• In-depth knowledge of AWS services and infrastructure as code (IaC) concepts.
• Experience designing and executing large-scale automated test suites in a production environment.
• Familiarity with Grafana for monitoring and visualization of system metrics.
• Proficiency in using Allure for test reporting and result analysis.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of CI/CD pipelines and related tools such as Jenkins or GitLab CI.
• Previous experience in mentoring or leading a team of test automation engineers.

Must be eligible to work in the United States without sponsorship now or in the future.

EOE M/F/Veterans/Disabled