DevOps Engineer (Mid-Level)

Own the platform's CI/CD, infrastructure as code and observability on Google Cloud day to day, and help carry the migration from VM-based deploys onto Kubernetes and GitOps while keeping every environment safe, automated and aligned with regulatory controls.

What you'll do

• Build and maintain the CI/CD pipelines (Cloud Build / GitHub Actions) for safe, incremental, zero-downtime deploys.
• Run and extend the GitOps delivery path: Kustomize overlays, image promotion and automated reconciliation.
• Help complete the platform's migration onto Kubernetes, keeping both deployment paths healthy while they run side by side.
• Implement and maintain infrastructure as code across all environments, with reviewed plans and shared modules.
• Operate containerized workloads: ingress, resource limits, autoscaling, and troubleshooting failed rollouts.
• Extend observability: structured logging, metrics, dashboards and alerting toward full Cloud Monitoring and Cloud Logging coverage.
• Implement platform hardening: secret management with rotation, workload identity, and least-privilege IAM.
• Operate the KSA cloud-region footprint (GCP me-central2): backups, backup verification and disaster-recovery drills.
• Own supply-chain and pipeline security: image and dependency scanning, SBOM and provenance generation, secret scanning.
• Maintain alpha, QA, staging, staging-QA and production environments, including data anonymisation for non-production.
• Support the on-call rotation, maintain the runbook library, and manage per-environment cost budgets and alerting.

What we look for

• 3-5 years in DevOps, SRE or platform engineering, with production ownership of infrastructure others rely on.
• Strong hands-on Google Cloud Platform experience: IAM, GKE, Artifact Registry and Compute Engine.
• Kubernetes in production: deployments, ingress, resource management, troubleshooting failed rollouts.
• GitOps delivery with Kustomize and Argo CD or Flux.
• Infrastructure as code (Terraform or equivalent): remote state, shared modules, reviewed plans.
• Docker and CI/CD pipeline design (Cloud Build / GitHub Actions) with Bash or Python scripting.
• Solid Linux troubleshooting at container level and participation in production incidents.
• Comfortable working with AI tools (Claude Code and other AI-powered tools).
• Preferred: GCP Professional certification; KSA cloud regions (me-central2); Saudi cybersecurity controls (NCA ECC-1, CCC-2) and PDPL; OpenTelemetry; VM-to-Kubernetes migration; professional Arabic.

Saudi nationals are strongly encouraged to apply.