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 that governs, protects, and enables safe AI adoption across global enterprises. This is a greenfield opportunity to architect the infrastructure backbone of a platform that will define how organizations trust AI at work.
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 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.
Key Responsibilities
- 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.
- Drive DevSecOps "shift-left" culture: integrate security scanning, SBOM generation, and supply chain hardening directly into every pipeline.
- Develop automation frameworks for provisioning, scaling, observability, and incident response - increasingly leveraging AI-assisted tooling 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.
- Deep, hands-on AWS expertise; multi-cloud 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, zero long-lived credentials.
- Experience embedding security into CI/CD: vulnerability scanning, SBOM generation, and supply chain security (Trivy, Grype, Syft, JFrog Xray).
- Solid observability fluency - OpenTelemetry, Prometheus, Grafana, Datadog, ELK/OpenSearch, distributed tracing.
- Exposure to AI/ML workloads or LLMOps infrastructure is a meaningful advantage - not required, but will set you apart.
- FinOps mindset - you think about cloud spend as a product metric, not just a finance problem.
- A clear communicator who can align engineers, security teams, and leadership around infrastructure decisions.
- A builder and owner - you see the system, spot the gaps, and raise the bar without being asked.
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