Full Stack Developer - Data Loss Prevention Cloud Service

Why Join Us?

We are looking for a talented and experienced Full Stack Developer to join our Data Loss Prevention (DLP) Next Cloud service team.

In this role, you will be part of a dynamic team that designs, develops, and deploys Check Point’s next-generation DLP cloud services.

This platform is integral to our suite of security products, including Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security.

In today's AI-driven world, data is an invaluable asset, and safeguarding it is paramount.

This role offers a unique opportunity to work with cutting-edge technologies and deliver transformative results in the Data Loss Prevention domain.

Key Responsibilities

• Design, develop, and maintain innovative DLP cloud services.
• Collaborate with team members, product managers, and other stakeholders to define project requirements and deliver high-quality solutions.
• Ensure the scalability, performance, and security of the DLP cloud services.
• Stay up-to-date with the latest industry trends and technologies to drive continuous improvement and innovation.
• Participate in code reviews, testing, and debugging to ensure the highest quality standards.
• Contribute to the development of best practices and technical standards within the team.
  
  

• At least 3-4 years of experience in software development, with a focus on full stack development.
• Strong proficiency in front-end technologies (e.g., React, Angular, Vue.js) and back-end technologies (e.g., Node.js, Python, Java, Go).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Solid understanding of database technologies (e.g., SQL, NoSQL).
• Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
• Excellent communication and interpersonal skills.
• Experience with data loss prevention or related fields – an advantage.
• BSc or MSc degree in Computer Science, Engineering, or a related field.