Check Point’s DevEx group builds, operates, and supports the development environments, tools, and automation that our R&D teams rely on worldwide.

We’re looking for an experienced, hands-on DevOps Engineer to operate our large-scale development infrastructure and help shape its next generation. As we gradually move workloads to the cloud and modernize our systems, you’ll combine infrastructure operations with cloud engineering, automation, and developer tooling.

This role suits someone who enjoys solving complex problems, empowering developers, and taking ownership of services that engineering teams depend on every day.

• Operate and modernize development infrastructure across on-premises and cloud environments, contributing to cloud migration and adoption of infrastructure as code.
• Build and evolve CI/CD pipelines and build infrastructure to accelerate development, testing, and release workflows.
• Maintain core development tools and infrastructure services, including GitLab, Artifactory, RabbitMQ, and Temporal.
• Deploy, manage, and troubleshoot containerized workloads using Docker, Kubernetes, and Helm.
• Develop automation, internal tools, and integrations using Python, Bash, or Go.
• Support R&D teams, resolve service requests, and participate in the team’s duty and on-call rotation for critical development services.
• Strengthen monitoring, logging, and alerting, investigate incidents, and automate recurring operational work.
• Apply AI engineering tools and agentic workflows to accelerate daily tasks and develop internal automation.
• Collaborate with development and security teams, maintaining clear documentation and operational runbooks.

• 3+ years of experience in DevOps, platform engineering, infrastructure engineering, or a related role.
• Strong Linux administration skills and practical troubleshooting experience across systems, networking, and development infrastructure.
• Strong scripting and automation skills in Python or Bash.
• Experience building and maintaining CI/CD pipelines using tools such as GitLab CI or GitHub Actions.
• Hands-on experience with Docker and Kubernetes.
• Practical experience with a public cloud platform, preferably AWS.
• Experience with infrastructure as code or configuration management tools such as Terraform or Ansible.
• Experience with monitoring, logging, and production troubleshooting.
• Strong practical proficiency with AI engineering tools, including coding assistants and agentic workflows; the ability to integrate them into engineering processes, assess output quality, and stay current with industry innovations and best practices.
• A service-oriented approach, clear communication, and ownership of issues through resolution.
• The ability to independently research unfamiliar technologies and implement practical solutions.

Nice to Have

• Experience migrating on-premises workloads to the cloud or operating hybrid environments.
• Experience with Helm and GitOps tools such as Argo CD or Flux.
• Experience operating GitLab, Artifactory, RabbitMQ, or Temporal.
• Familiarity with Prometheus, Grafana, or centralized logging platforms.
• Software development experience in Python or Go, including internal developer tooling or AI agents.
• Experience with virtualization or Windows/macOS administration.