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.
Job Description:Join Check Point's Endpoint Security R&D group and help us build the next generation of cloud-based endpoint security products.
We are looking for a strong, motivated, and highly technical Full Stack Engineer to join a team building a lean, fast, and competitive cloud product that integrates with Check Point's broader Workspace Security platform.
As part of the team, you will work with talented engineers, product managers, UX designers, QA engineers, and stakeholders across the organization to deliver modern, scalable, and user-centric security experiences.
Innovation, technical excellence, and product thinking are an integral part of our work. We encourage engineers to take ownership, challenge existing solutions, and use modern technologies — including AI-powered development tools — to improve both our product and the way we build it.
If you are passionate about full stack development, cybersecurity, user experience, and building high-impact cloud products, this opportunity is for you.
Responsibilities
- Design and develop modern frontend and backend applications and product features for Check Point's Endpoint Security platform
- Build a fast, scalable, and enterprise-ready SaaS application using modern frontend and backend technologies
- Take an active role in frontend and backend architecture, infrastructure, and technical decision-making
- Work closely with product managers, UX designers, backend engineers, QA teams, and additional stakeholders
- Translate product and design requirements into intuitive, polished, and high-quality user experiences, backed by robust, scalable services
- Measure, analyze, and improve application performance, usability, reliability, and maintainability
- Use AI-powered development tools to improve development velocity, code quality, testing, and problem-solving
- Research and introduce new technologies, tools, and engineering practices
- Take ownership of features throughout their full lifecycle, from design and implementation to production and continuous improvement
Qualifications
3+ years of experience developing modern web applications using JavaScript or TypeScript, HTML, and CSS
- Strong experience with React or another modern frontend framework such as Angular or Vue
- Strong backend experience with Go and Node.js (TypeScript)
- Solid experience with PostgreSQL and relational data modeling
- Solid understanding of frontend and backend architecture, component-based development, state management, API design, and modern web development practices
- Experience building large-scale, distributed, or cloud-based SaaS applications
- Strong product mindset, visual awareness, and attention to detail
- Ability to create clean, intuitive, and user-friendly interfaces in close collaboration with UX and product teams
- Experience working with AI-assisted development tools and workflows
- Strong communication skills and the ability to work effectively in a collaborative, cross-functional environment
- Independent, proactive, and capable of taking ownership and driving tasks to completion
- BSc in Computer Science, Software Engineering, or equivalent practical experience
Qualifications:
Advantages
- Experience with OpenSearch
- Experience with Neptune or other graph databases
