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Senior DevOps Engineer

Check Point Software Technologies
Location
Tel Aviv-Yafo, Tel Aviv District, Israel
Workplace
—
Employment
Full Time
Salary
—
Apply on the employer’s site

Posted 11d ago

  • Own and evolve our cloud infrastructure across multi-region production environments, end-to-end.
  • Lead our GitOps deployment model - designing and maintaining declarative, automated deployment workflows with zero manual gates.
  • Build, maintain, and optimize CI/CD pipelines with a strong focus on developer experience, reliability, and speed.
  • Initiate, implement, and champion an AI-first DevOps & SRE ecosystem - identifying opportunities, building AI agents and intelligent automation, and driving their adoption across engineering operations.
  • Develop automation frameworks for provisioning, scaling, observability, and incident response, leveraging AI-powered tooling and agentic workflows to reduce toil.
  • Operate and improve our observability platform: metrics, logs, alerting, dashboards, SLOs/SLIs, and on-call tooling.
  • Champion zero-trust secrets management and credential-less authentication patterns across the stack.
  • Partner with architects and engineering leadership on cloud cost optimization, availability, and performance.
  • Build internal tooling and automation that multiplies engineering velocity across the organization.
  • 5+ years of hands-on DevOps experience in a SaaS product environment - Must.
  • Demonstrated initiative in applying AI to engineering operations - designing and building AI agents, agentic workflows, LLM-powered automation, or Model Context Protocol (MCP) integrations that reduced operational toil and improved production reliability, quality, or velocity - Must.
  • Strong scripting and programming skills - Python and Bash for automation, tooling, and AI agent development; Go is a plus.
  • Strong motivation to continuously learn and adopt emerging technologies, and to share that knowledge across the team.
  • Deep, hands-on AWS expertise; multi-cloud (AWS, GCP, Azure) experience is a strong plus - Must.
  • Strong understanding of containers and orchestration - Docker, Kubernetes, including workloads, networking, service mesh (Istio), Helm/Kustomize, and autoscaling (KEDA, HPA, VPA).
  • Strong experience with:
  • Infrastructure-as-Code - Terraform, Crossplane, and/or cloud-native declarative tooling.
  • GitOps principles and tooling (ArgoCD or equivalent).
  • CI/CD platforms - building reusable, scalable, security-hardened pipeline templates (GitHub Actions or equivalent).
  • Secrets management - dynamic injection, IRSA/Workload Identity, avoiding long-lived credentials.
  • Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray).
  • Solid observability knowledge - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing.
  • Hands-on experience with AI/ML workloads or LLMOps infrastructure - a significant advantage.
  • Cost-awareness (FinOps) - treating cloud spend as a core engineering metric.
  • Clear communication skills - able to align engineers, security teams, and leadership around infrastructure decisions.
  • A strong sense of ownership - proactively identifying gaps and driving improvements.

Skills

  • LLM
  • Model Context Protocol
  • Python
  • Bash
  • AWS
  • GCP
  • Azure
  • Docker
  • Kubernetes
  • Istio
  • Helm
  • Kustomize
  • Terraform
  • Crossplane
  • Argo CD
  • GitHub Actions
  • Trivy
  • OpenTelemetry
  • Prometheus
  • Grafana
  • Datadog
  • ELK Stack
  • OpenSearch
  • LLMOps

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