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Senior DevOps Engineer
Posted by Check Point Software on 7 September 2026, 33 days ago. Still on their SmartRecruiters board when we checked 1 h ago.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationTel Aviv-Yafo, Tel Aviv District, Israel
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-09-07
Found viasmartrecruiters, direct from their system
We saw it 1 month after it went up.
The posting, as the company wrote it
Employment: Full-time
Experience level: Mid-Senior Level
Job Description
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.
Qualifications
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.
 
 
Company Description
At Check Point Software Technologies , we secure the world - and now we're securing the AI revolution . We're building a Workforce AI Security Platform : a cloud-native, multi-tenant SaaS platform that governs, protects, and enables safe AI adoption across global enterprises. This is a greenfield opportunity to help architect the infrastructure backbone of a platform that will define how organizations adopt AI at work securely.
We're looking for a Senior DevOps Engineer who owns infrastructure end-to-end , ships with confidence, and raises the reliability bar without being asked. You will work closely with backend, full-stack, and security teams , as well as DevOps teams across other Check Point organizations , to build a highly available, reliable, and secure production environment . If you get energized by building systems that scale, pipelines that teams love, and platforms that never sleep - this role is for you.
Also open at Check Point Software
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