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Avanan was acquired by Check Point and it is now Check Points Email Security and collaboration solution.

We are looking for a brilliant QA Automation Engineer to join our team. Create and manage a large scale systems using cutting edge technologies in an agile environment.

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

Key Responsibilities
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.

Cisco Silicon One team is undergoing rapid growth, and we are looking for a Quality Monitoring Engineer.

Meet the Team
Join the Cisco Silicon One team in developing a unified silicon architecture for web-scale and service provider networks. Cisco's silicon team provides an outstanding, unique experience for ASIC and Software engineers by combining the resources offered by a sizable multi-geography silicon organization and a large campus (with an on-site gym, healthcare, café, social interest groups, and philanthropy) with the startup culture and breadth of growth opportunities that working in a smaller ASIC team can provide.

Your Impact
As a part of your everyday work, youll monitor the performance and health of CI/CD systems, promptly identifying and addressing anomalies to ensure optimal operation. You will also perform initial assessment and troubleshooting of system breakages or failures, determining the root cause and escalating issues to appropriate teams when necessary.
You are going to develop and implement automated monitoring and analysis processes to improve efficiency, reduce manual intervention, and enhance the accuracy of system health assessments.
Collaborate with development teams to define and maintain the testing scope, ensuring comprehensive coverage and alignment with project requirements. You'll be responsible for introducing new testing stages as needed to adapt to evolving project needs and improve testing effectiveness.
Work closely with cross-functional teams to integrate new testing tools and methodologies, fostering a culture of continuous improvement and innovation in testing practices.

The Check Point XPR (Extended Prevention and Response) team is dedicated to constructing the next-generation XDR SaaS platform. XPR offers a unified interface covering Incident Management, Threat Hunting & Asset Management and Automated Prevention.

The XPR Analytics group is actively seeking a dynamic and skilled Software Engineer to join our Analytics Cloud team in a startup-like environment and contribute to shaping, leading, and delivering our innovative cybersecurity solution.

The Analytics Cloud team is responsible for building a scalable and reliable data analytics solution in the cloud. This solution aims to transform a multitude of security detections into a coherent and concise attack picture and response procedure.

Key Responsibilities
Lead the design and implementation of reliable, scalable, and performant SaaS service data pipelines making use of modern toolsets and managed services.
Working proactively to make sure tasks get done end-to-end. Working within and across team boundaries to push tasks to completion.
Work closely with our team of data scientists and analysts, who are responsible for developing algorithms, analytical rules, and machine learning data models.