Join Check Point’s Harmony SASE – a game-changing hybrid SASE platform.

We are looking for a talented Full Stack Engineer with strong backend and frontend skills to join the forefront of Check Point’s Harmony SASE team, building cutting-edge, large-scale solutions that redefine cloud security and network management.

As part of our team, you’ll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient full-stack systems. You’ll also have the opportunity to leverage AI-powered development tools and workflows to accelerate development, improve code quality, and solve complex engineering problems.

If you’re passionate about innovation, cloud security, AI-assisted engineering, and high-performance architecture, this is your opportunity to make an impact.

Check Point is a key player in the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, combining cloud and on-device protection, redefines how businesses securely connect in the era of cloud and remote work.

• Own end-to-end feature development, including research, design, implementation, testing, deployment, and monitoring.
• Contribute to technological and architectural decisions.
• Develop testable, reusable, and efficient code to create high-performance applications.
• Analyze and improve the efficiency, scalability, and stability of various components across our system.
• Leverage AI-assisted development tools as part of the engineering workflow for coding, debugging, testing, research, and problem-solving.
• Explore and adopt new AI capabilities and development practices that can improve engineering velocity and software quality.
• Collaborate with Designers, Product Managers, Architects, and Software Engineers to deliver the best possible product to our customers.

• At least 4 years of experience as a Full Stack Engineer in a product company.
• Hands-on experience with Node.js, TypeScript, and React.
• Experience building and maintaining large-scale cloud systems.
• Hands-on experience with NoSQL databases.
• Practical experience using AI-powered development tools as part of day-to-day software engineering workflows.
• Ability to effectively use AI for tasks such as code generation and review, debugging, technical research, testing, and solution design.
• Strong analytical and problem-solving skills.
• Experience working in a Scrum team according to Agile principles.
• A team player with strong communication skills, a positive attitude, and a can-do approach.
• BSc in Computer Science, Software Engineering, or equivalent.
• Fluent English, written and spoken.

Advantages

• Hands-on experience with AWS.
• Experience working extensively with Claude / Claude Code or similar advanced AI coding assistants.
• Experience integrating LLMs or AI capabilities into engineering workflows, internal tools, or production systems.
• Familiarity with effective prompting, context management, and AI-assisted software development best practices.