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 day to day: ingress, resource limits, autoscaling, and troubleshooting failed rollouts.
Extend observability: structured logging, metrics, dashboards and alerting, building on Sentry and lograge today toward full Cloud Monitoring and Cloud Logging coverage.
Implement platform hardening to the defined control set: secret management with rotation, workload identity, and least-privilege IAM.
Operate the KSA cloud-region footprint (GCP me-central2): backups, backup verification, and execution of disaster-recovery drills to the documented plan.
Own supply-chain and pipeline security: container-image and dependency scanning, SBOM and provenance generation, secret scanning, and extending this coverage consistently across every pipeline.
Maintain the alpha, QA, staging, staging-QA and production environments, including data anonymisation for all non-production environments.
Support the on-call rotation, maintain the runbook library with the support team, and manage per-environment cost budgets and alerting.
And all responsibilities given by the direct manager.
What we look for
3–5 years in DevOps, SRE or platform engineering, including production ownership of infrastructure other engineers rely on daily.
Strong, hands-on Google Cloud Platform experience: IAM, GKE, Artifact Registry and Compute Engine.
Kubernetes in production: deployments, ingress, resource management, and troubleshooting failed rollouts.
GitOps delivery with Kustomize and Argo CD or Flux.
Infrastructure as code (Terraform or equivalent) in a team context: remote state, consuming and extending 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.
Experience in, or genuine comfort working in, a fast-paced startup environment: self-managed time, adapting to changing priorities, following tasks through, and delivering on short timelines when needed.
Comfortable working with AI tools and able to use them effectively to lift your productivity and the quality of your work — Claude Code and other relevant AI-powered tools.
Preferred — GCP Professional certification (Cloud DevOps Engineer or Cloud Engineer).
Preferred — Experience with KSA cloud regions (me-central2) and data-residency-constrained environments.
Preferred — Familiarity with Saudi cybersecurity controls (NCA ECC-1, CCC-2) and PDPL.
Preferred — OpenTelemetry, or experience migrating production workloads from VMs onto Kubernetes.
Preferred — Professional Arabic alongside English.
Saudi nationals are strongly encouraged to apply.

Work arrangement
Yes