Check Point is looking for a talented Automation Engineer to join the Policy AI R&D group. This is a great opportunity to join the development of Check Point's new AI-based security management solutions.
This role offers an opportunity to contribute to cutting-edge projects aimed at addressing the challenges of securing Internet of Things devices based on dynamic learning models, and at leveraging AI capabilities to generate a far more effective security management.
The development process is agile, using edge technologies and working closely with customers to collect important feedback. Therefore, the team is very dynamic and is responsible for designing and developing a large variety of features and services.
Come and join a dynamic cyber security internal start-up group in Check Point, developing solutions to based on AI technologies that secures our customers.
Key Responsibilities
Develop and maintain automated test frameworks using Python, Java, Puppeteer and Cypress for infrastructure components.
Design and execute comprehensive test suites for infrastructure systems deployed on prem and on cloud, specifically AWS, Azure and DataBricks.
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.
Requirements: At least 4 years in test automation with a focus on infrastructure testing.
Proficiency in Python, Java, Puppeteer and Cypress
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.
Advantages:
Knowledge of CI/CD pipelines and related tools such as Jenkins or GitLab CI.
Experience with relational/non-relational databases.
Strong understanding of software architecture and OOP
You strive to solve problems in innovative ways
Flexibility and ability to work in a multi-tasked and dynamic environment
Linux / Scripting an advantage
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