Why Join Us?

Join our AI & Innovation group as a Senior DevOps Engineer and play a critical role in building and scaling the infrastructure behind our next-generation AI-powered security product. Work with a team of open-minded and ambitious individuals who thrive on collaboration, continuous learning, and creating real-world impact.

Our group is designing and developing an ambitious product at the core of Check Point's strategy, integrating AI technologies to build next-generation security products. This role offers a unique blend of infrastructure challenges, backend development, and hands-on work with cutting-edge AI systems. You'll have access to some of the best cybersecurity data sources available, working in a dynamic, fast-moving environment that combines the agility of a startup with the resources and stability of a global leader.

If you're passionate about building robust, scalable infrastructure, solving complex DevOps challenges, and working with a great team to drive real impact, we'd love to hear from you!

Key Responsibilities

You'll be responsible for building and maintaining the cloud infrastructure and deployment pipelines that power our AI-driven security platform, while also contributing to backend development. This role combines infrastructure work, cloud-native technologies, and hands-on development in a fast-paced environment.

What You’ll Do

• Design, implement, and maintain CI/CD pipelines and cloud infrastructure using Infrastructure as Code
• Deploy and manage containerized applications using Kubernetes in production environments
• Develop backend services and automation tools to improve system reliability and developer productivity
• Implement monitoring, logging, and observability solutions across the stack
• Collaborate with cross-functional teams to ensure scalable, secure deployment of AI-powered features
  
  

Qualifications

What You'll Bring

• 4+ years of experience as DevOps engineer
• Strong proficiency in cloud platforms (e.g. AWS, Azure) and Infrastructure as Code (e.g. Terraform, CloudFormation)
• Proficiency working with Linux, Git, Docker
• Deep knowledge of Kubernetes and container orchestration
• Experience with CI/CD tools (e.g. ArgoCD, GitHub Actions)
• Experience with monitoring tools (e.g. Prometheus, Grafana, OpenSearch)
  
  

Nice to Have

• Backend development experience, preferably in Python
• Experience with AI/ML infrastructure and model deployment
• Background in cybersecurity