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DevOps Engineer (Mid-Level)

NovaLexi · Riyad

جديد
Mid 🇬🇧 English
Google Cloud Platform IAM GKE Artifact Registry Compute Engine Kubernetes Kustomize Argo CD Flux Terraform Docker Cloud Build GitHub Actions Bash Python Linux Sentry Cloud Monitoring Cloud Logging

وصف الوظيفة

About the role

The team is looking for a mid‑level DevOps Engineer to own CI/CD, infrastructure‑as‑code and observability on Google Cloud. You will help migrate VM‑based deployments to Kubernetes while keeping all environments secure, automated and compliant with regulatory controls.

Key responsibilities

  • Build and maintain CI/CD pipelines using Cloud Build and GitHub Actions for zero‑downtime deployments.
  • Extend the GitOps delivery path with Kustomize overlays, image promotion and automated reconciliation.
  • Support the parallel migration to Kubernetes, ensuring both deployment paths remain healthy.
  • Implement and maintain infrastructure‑as‑code (Terraform) across all environments with reviewed plans and shared modules.
  • Operate containerised workloads: ingress, resource limits, autoscaling and troubleshooting failed rollouts.
  • Extend observability by adding structured logging, metrics, dashboards and alerting, moving toward full Cloud Monitoring and Cloud Logging coverage.

Required profile

  • 3–5 years of experience in DevOps, SRE or platform engineering with production ownership of shared infrastructure.
  • Strong hands‑on experience with Google Cloud Platform services such as IAM, GKE, Artifact Registry and Compute Engine.
  • Proven experience running Kubernetes in production, including deployments, ingress and resource management.
  • Comfortable working in a fast‑paced startup environment, managing time autonomously and delivering on short timelines.

Required skills

  • Google Cloud Platform (IAM, GKE, Artifact Registry, Compute Engine)
  • Kubernetes production operations
  • GitOps tools (Kustomize, Argo CD or Flux)
  • Infrastructure‑as‑code with Terraform
  • Docker and container orchestration
  • CI/CD pipeline design (Cloud Build, GitHub Actions) with Bash or Python scripting
  • Linux troubleshooting at container level
  • Observability tools (Sentry, Cloud Monitoring, Cloud Logging)

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