At Check Point, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. You’ll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
We’re proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets Check Point apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If you’re excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
We are looking for a passionate Software Developer to join our Gen AI Security team, where we build, evolve, and operate Check Point's Gen AI Security SaaS product, protecting GenAI-powered applications from prompt injection, data leakage, and harmful content.
In this role, you will develop new product capabilities across real-time detection & prevention, policy management, and the ML pipeline. You will work across backend services, Kubernetes environments, data pipelines, monitoring, and frontend components.
We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development — from UI and backend to data and detection pipelines.
Major Responsibilities
- Develop new features and capabilities for Check Point's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
- Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
- Contribute to our native inspection agent that runs close to customer traffic
- Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
- Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
- Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
- Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
- Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
- Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes
- 4+ years of experience as a software developer in a cloud-oriented environment
- B.Sc/M.Sc in Computer Science
- Understanding of LLM/GenAI security concepts (prompt injection, jailbreaks, content moderation, PII/data leakage)
- Strong programming skills in Go or/and C++, Python, Node.js, or a similar programming languages
- Hands-on experience with containerized environments using Docker and Kubernetes, including deployment, configuration, troubleshooting, and production workloads
- Experience working with cloud platforms, preferably AWS
- Experience working with databases, preferably NoSQL databases such as MongoDB
- Understanding of production systems, including scalability, availability, monitoring, logging, and incident investigation
- Experience using AI-powered development tools and integrating AI capabilities into daily development workflows
Nice to have - Experience with caching technologies such as Redis
- Experience with messaging and streaming technologies such as Kafka
- Experience with frontend development using React, TypeScript, HTML, and CSS
- Experience with observability and search platforms such as the Elastic/OpenSearch Stack and Grafana
- Familiarity with GraphQL API design and development
- Experience with vector data bases
