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Check Point Software Technologies

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DevOps Engineer

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Summary

DevOps engineer at Check Point (cybersecurity) operating and modernizing R&D development infrastructure across on-prem and AWS cloud: building CI/CD pipelines, running Docker/Kubernetes workloads, maintaining core services like GitLab and Artifactory, strengthening monitoring, and sharing on-call for critical dev services. Core stack: Linux, Python/Bash/Go, GitLab CI, Terraform/Ansible, plus AI/ag

  • 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.

Skills

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See also

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