6 hours ago
Tel Aviv-Yafo, IsraelSenior

Responsibilities

  • Own and evolve cloud infrastructure across multi-region production environments.
  • Lead the GitOps deployment model and maintain declarative, automated deployment workflows.
  • Build and optimize CI/CD pipelines focused on developer experience, reliability, security, and speed.
  • Design and implement AI agents, agentic workflows, and intelligent automation for engineering operations.
  • Develop automation for provisioning, scaling, observability, and incident response.
  • Operate observability systems covering metrics, logs, alerting, dashboards, SLOs, SLIs, and on-call tooling.
  • Champion zero-trust secrets management and credential-less authentication patterns.
  • Partner with architects and engineering leadership on cloud cost, availability, and performance optimization.
  • Build internal tooling and automation to improve engineering velocity.

Requirements

  • At least 5 years of hands-on DevOps experience in a SaaS product environment.
  • Demonstrated experience building AI agents, agentic workflows, LLM-powered automation, or MCP integrations for engineering operations.
  • Strong Python and Bash scripting and programming skills; Go is a plus.
  • Deep hands-on AWS expertise; AWS, GCP, and Azure multi-cloud experience is a strong plus.
  • Strong Docker and Kubernetes experience, including workloads, networking, Istio service mesh, Helm or Kustomize, KEDA, HPA, and VPA.
  • Experience with Terraform, Crossplane, and/or cloud-native declarative infrastructure tooling.
  • Experience with GitOps tooling such as ArgoCD and reusable CI/CD pipeline templates such as GitHub Actions.
  • Experience with dynamic secrets injection, IRSA, Workload Identity, and avoiding long-lived credentials.
  • Experience with vulnerability scanning, SBOM generation, and supply-chain security using tools such as Trivy, Grype, Syft, and JFrog Xray.
  • Solid observability experience with OpenTelemetry, Prometheus, Grafana, Datadog, ELK or OpenSearch, and distributed tracing.
  • Hands-on AI/ML workloads or LLMOps infrastructure experience is a significant advantage.
  • Cost-awareness and FinOps experience, clear communication, continuous learning, and strong ownership.

Tech Stack

AWSAzureBashDatadogDockerGitHub ActionsGoGoogle Cloud PlatformGrafanaHelmIstioKubernetesPrometheusPythonTerraform

Categories

Check Point Software Technologies

About Check Point Software Technologies

5,001-10,000 employees

Check Point Software Technologies Ltd. is a leading protector of digital trust, utilizing AI-powered cyber security solutions to safeguard over 100,000 organizations globally. Through its Infinity Platform and an open garden ecosystem, Check Point’s prevention-first approach delivers industry-leading security efficacy while reducing risk. Employing a hybrid mesh network architecture with SASE at its core, the Infinity Platform unifies the management of on-premises, cloud, and workspace environments to offer flexibility, simplicity and scale for enterprises and service providers.

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