Junior Full Stack Developer - Data Loss Prevention Cloud Service REF10E

We're looking for a curious and driven Junior Full Stack Developer to join our DLP Next team, where you'll work on cutting-edge cloud-native data loss prevention and GenAI Security across our Network Security platform. If you're eager to grow your skills while working with modern cloud technologies, agentic AI workflows, and generative AI security, we want to hear from you.
You'll work alongside experienced engineers on platforms that protect enterprise data and secure generative AI applications across Network Security, Email Security, SASE, Endpoint, SaaS, and Cloud Security. As organizations race to deploy GenAI, threats are evolving fast - insider misuse, data exfiltration via AI chatbots, policy violations through agentic workflows. We're building the intelligent systems that detect and prevent these risks in real time. You'll learn fast, contribute meaningfully, and help shape how enterprises safely adopt AI.
Key Responsibilities
Develop and maintain features for DLP Next Cloud a

דרישות:

B.Sc. in Computer Science
0-2 years of software development experience.
Experience with at least one front-end framework (React, Angular, or Vue.js) and one back-end language (Node.js, Python, Go, Java, or similar).
Basic understanding of databases (SQL/NoSQL) and exposure to cloud platforms (AWS, Azure, or GCP).
Ability to write clean, maintainable code with strong problem-solving and debugging skills.
Strong interest in GenAI technologies, including LLMs, AI agents, prompt behavior, and GenAI security.
Collaborative team player with strong communication skills, curiosity, and a proactive learning mindset.
Nice to Have
Experience with Docker or containerization technologies.
Knowledge of cybersecurity, data loss prevention (DLP), or AI security concepts.
Understanding of LLM training, fine-tuning, AI safety, model alignment, or adversarial prompting.
Experience with open-source or personal projects demonstrating software development or GenAI applications.
Familiarity with orchestrati