Associate Architect/Lead DevOps Engineer (GCP) | Saudi Arabia

Quantiphi Analytics Solutions

Saudi Arabia

On-site

SAR 350,000 - 600,000

Full time

14 days+

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Job summary

Quantiphi Analytics Solutions is seeking a Senior DevOps Engineer specializing in Google Cloud Platform to architect and implement enterprise CI/CD pipelines, IaC, and security across multi-region GKE environments.

You will integrate DevSecOps practices, optimize cloud infrastructure, and drive observability with Prometheus and Grafana to ensure reliability and performance at scale.

Qualifications

  • 7+ years of dedicated DevOps, SRE and cloud automation.

Responsibilities

  • Lead the architectural design and hands-on implementation of enterprise CI/CD automation and delivery pipelines on GCP.
  • Author, maintain, and review scalable Terraform modules enforcing strict security, compliance, and governance controls.
  • Manage, scale, and optimize multi-region Google Kubernetes Engine (GKE) production environments.
  • Embed enterprise DevSecOps tools and practices directly into pipelines (container scanning, vulnerability management, SAST/DAST).
  • Establish proactive observability, SLA/SLO tracking, incident root-cause analysis, and disaster recovery strategies.
  • Partner with application architects to optimize cloud infrastructure performance and eliminate deployment bottlenecks.

Skills

GCP
Terraform
Terragrunt
GKE
Anthos
Istio
CI/CD
DevSecOps
Observability
Security hardening

Tools

Cloud Build
Cloud Deploy
Artifact Registry
Cloud Run
Prometheus
Grafana

Job description

DevOps Engineer (Senior GCP Specialist)
Company Profile

Quantiphi is an award winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

We believe in Solving What Matters

1. Overview

Role: DevOps Engineer (Senior GCP Specialist)

Years of Experience (YoE):10+ Years (Dedicated, specialized experience in this specific role)

Location: Saudi Arabia (Onsite)Minimum 1 Year

2. Requirements
  • 7+ years of dedicated, continuous hands-on experience strictly within DevOps, SRE, and Cloud Automation.
  • Mastery of Google Cloud Platform (GCP) native deployment ecosystem (Cloud Build, Cloud Deploy, Artifact Registry, Cloud Run).
  • Expert-level Infrastructure as Code (IaC) experience using Terraform and Terragrunt for large-scale, multi-tenant enterprise environments.
  • Deep expertise in Google Kubernetes Engine (GKE), including enterprise cluster design, mesh architectures (Anthos/Istio), autoscaling, and security hardening.
  • Proven experience establishing end-to-end continuous integration/continuous delivery (CI/CD) automated pipelines, DevSecOps integration, and secret management.
  • Advanced proficiency with production monitoring, alerting, logging, and observability frameworks (GCP Cloud Operations Suite, Prometheus, Grafana).
  • Strictly a dedicated DevOps/SRE career path (no generalist software engineering or fragmented histories).
3. Responsibilities
  • Lead the architectural design and hands-on implementation of enterprise CI/CD automation and delivery pipelines on GCP.
  • Author, maintain, and review scalable Terraform modules enforcing strict security, compliance, and governance controls.
  • Manage, scale, and optimize multi-region Google Kubernetes Engine (GKE) production environments.
  • Embed enterprise DevSecOps tools and practices directly into pipelines (container scanning, vulnerability management, SAST/DAST).
  • Establish proactive observability, SLA/SLO tracking, incident root-cause analysis, and disaster recovery strategies.
  • Partner with application architects to optimize cloud infrastructure performance and eliminate deployment bottlenecks.
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