Full Stack Developer - Data Loss Prevention Cloud Service

• Develop and maintain features for DLP Next Cloud and GenAI Security across our Network Security platform under mentorship from senior engineers
• Build detection and policy enforcement systems for data loss prevention - both traditional and GenAI-specific threats
• Work on agentic security workflows: understanding how AI agents interact with data and designing systems to detect policy violations
• Collaborate with product managers and cross-functional teams to understand requirements for emerging GenAI threats (chatbot data exfiltration, prompt injection risks, insider misuse)
• Participate actively in code reviews, testing, and debugging - this is how you'll grow
• Explore how prompt engineering, language models, and AI arbitration improve our classification and detection accuracy
• Contribute to building scalable, secure systems that protect thousands of enterprises and millions of users
• Learn and adopt best practices for cloud-native development, testing, and deployment

• B.Sc. in Computer Science from a leading university.
• 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).
• Experience with Docker or containerization technologies.
• 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

• 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 orchestration tools (e.g., Kubernetes).