QA Engineer

Why Join Us?

At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.

Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.

This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.

We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.

What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.

If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.

Key Responsibilities

We are looking for a QA Engineer to join our Management and Releases group!

In this role, you will be responsible for conducting end-to-end testing of Checkpoint products within the team’s scope.

Major Responsibilities

• Create complex virtual and physical environments to test Check Point products.
• Run QA manual and automated test runs on varied environments and large scale setups.
• Create test plans for new features; meet with R&D to learn the design, follow up on test requirements, and write tests to cover full feature functionality.
• Provide reliable real-time status to your manager.
  
  

• Knowledge of the Linux operating system.
• Experience in QA methodologies - test design, test cases, and test cycle
• Attention to detail and punctuality.
• Independent, motivated, and self-managed at work
• Team player with good interpersonal skills.
• Excellent spoken and written English.
• Good written and verbal communication skills.
  
  

• Knowledge in Check Point Products.
• Knowledge of other Security Products.
• Scripting experience (Bash, Python, or similar).
• Familiarity with AI tools and AI-driven workflows.