Join the cutting-edge CloudGuard AI Security engineering team, where you will be part of a top talented team collaborating to shape and secure next-generation AI-enabled public cloud environments. You will create proof-of-concepts, design robust architectures, and develop products that address the evolving security challenges of AI adoption in modern enterprises.
Key Responsibilities
Pioneer AI Security Solutions: Design, build, and refine innovative security products for AI-driven cloud environments.
Architect & Own EKS-Based Backends: Lead the development of AI security microservices, ensuring high performance, scalability, and reliability.
Full Development Lifecycle: Contribute to every stage, from initial design to deployment, while maintaining best-in-class coding standards.
Continuous Learning & Adapting: Stay current on the fast-paced AI landscape, enterprise use cases, and emerging threat vectors.
Collaborate & Innovate: Work together with product architects and cross-functional teams to refine requirements and deliver groundbreaking security solutions.
Requirements: BS.c in Computer Science
3-5 years of experience in Python
Experience with cloud development
Excellent verbal communication skills
Good problem-solving skills with attention to details
Advantages:
Familiarity with machine learning
Experience with Node.js / C++ / GO programming language
Experience with Vector Databases
Expertise (or strong interest) in cloud-native development, specifically with EKS/Kubernetes.
Passion for AI and its evolving security challenges.
Strong coding skills, with a focus on writing well-structured, testable, and efficient code.
Enthusiasm for continuous learning and a desire to stay at the forefront of AI security trends.
Be a driving force in the future of AI securityhelp us protect enterprise cloud environments as they embrace the potential of LLMs and next-generation AI technologies.
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