DevOps Engineer
Check Point Software Technologies · Tel Aviv-Yafo, Tel Aviv District, il
hybridmid levelPosted Oct 25, 2026 · verified Oct 27, 2026
Key requirements
- *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 be
- The ability to independently research unfamiliar technologies and implement practical solutions.
- 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.
- Software development experience in Python or Go, including internal developer tooling or AI agents.
- Experience with virtualization or Windows/macOS administration.
Description
* 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.
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