Junior Full Stack Developer - Data Loss Prevention Cloud Service

Why Join Us?

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 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
• 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.
  
  

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