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Mid-Level DevOps Engineer

NovaLexi

Remote · Full Time

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Experience
3–5 yrs
Salary
—
Openings
1
Posted
18 hours ago
Work mode
Work from home
Eligibility
Open to qualified candidates, with strong encouragement for Saudi nationals to apply.
Resume
Required to apply

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Job description

Overview

We are looking for a skilled DevOps Engineer to take ownership of our platform's CI/CD systems, infrastructure as code, and monitoring on Google Cloud. You will play a critical role in advancing the migration from VM-based deployments to Kubernetes and GitOps methodologies, ensuring all environments remain secure, automated, and comply with regulatory standards.

Key Duties

  • Design, develop, and maintain CI/CD pipelines using Cloud Build and GitHub Actions to enable safe, incremental, and zero-downtime deployments.
  • Manage and enhance the GitOps workflow including the use of Kustomize overlays, image promotion, and automated reconciliation processes.
  • Assist in finalizing the migration to Kubernetes, maintaining both Kubernetes and VM deployment paths concurrently in a healthy state.
  • Develop and uphold infrastructure as code for all environments using shared modules and ensure plans undergo thorough reviews.
  • Operate containerized workloads by managing ingress controllers, resource limits, autoscaling, and troubleshooting deployment issues.
  • Expand platform observability by implementing structured logging, metrics, dashboards, and alerting—transitioning from current tools to full Cloud Monitoring and Cloud Logging coverage.
  • Implement security hardening following a defined control set, including secret management with automated rotation, workload identity, and enforcing least-privilege IAM policies.
  • Manage the cloud infrastructure footprint in the Saudi Arabia region (GCP me-central2) including backups, verification, and executing disaster recovery drills as per documented plans.
  • Oversee supply-chain and pipeline security measures such as container image and dependency scanning, generation of SBOM and provenance data, and secret scanning across all pipelines.
  • Maintain multiple environments including alpha, QA, staging, staging-QA, and production; ensure data anonymization in all non-production environments.
  • Participate in on-call rotations, maintain support documentation and runbooks, and monitor per-environment cost controls and alerts.
  • Perform additional tasks assigned by the manager.

Qualifications and Experience

  • 3 to 5 years of experience in DevOps, Site Reliability Engineering, or platform engineering supporting production infrastructure.
  • Proficient with Google Cloud Platform services including IAM, Google Kubernetes Engine (GKE), Artifact Registry, and Compute Engine.
  • Hands-on experience deploying and managing Kubernetes in production, including ingress, resource management, and resolving rollout failures.
  • Experience with GitOps tools such as Kustomize and Argo CD or Flux.
  • Proficient in infrastructure as code practices using Terraform or similar tools, including managing remote state and shared modules within a collaborative environment.
  • Strong knowledge of Docker and designing CI/CD pipelines using Cloud Build or GitHub Actions, with scripting skills in Bash or Python.
  • Advanced Linux troubleshooting skills at the container level and experience handling production incidents.
  • Thrives in dynamic, fast-paced startup settings, managing priorities effectively and delivering on tight deadlines.
  • Comfortable leveraging AI-assisted software tools to enhance productivity and output quality.
  • Preferred qualifications include GCP Professional certification (Cloud DevOps Engineer or Cloud Engineer), experience with Saudi Arabia cloud regions (me-central2), understanding Saudi cybersecurity standards (NCA ECC-1, CCC-2), and PDPL compliance.
  • Additional preferences include knowledge of OpenTelemetry, migrating workloads from VMs to Kubernetes, and professional proficiency in Arabic and English.
  • Strong encouragement for Saudi nationals to apply.

Level

Mid

Tools & software

Docker · 2 to 5 years required Google Cloud Platform · 2 to 5 years required GitHub Actions required Terraform · 2 to 5 years required

How they work

Attention to Detail Time Management Adaptability Independence

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