DevOps Engineer 25651

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, observabi

דרישות:

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 LL