Senior Cloud Platform Engineer

About MOZN

MOZN is an Enterprise AI company focused on enabling organizations to make informed decisions in financial crime prevention and enterprise knowledge intelligence. The company operates with a diverse and collaborative team dedicated to building AI solutions that deliver business value, build trust, and empower organizations with augmented intelligence. MOZN's culture emphasizes the pursuit of excellence and meaningful impact.

Role Overview

MOZN is seeking a Senior Cloud Platform Engineer to design, build, and evolve scalable, secure, and cost-efficient cloud platforms on GCP. This full-time role, based in Riyadh, Saudi Arabia, involves creating reusable platform blueprints, infrastructure abstractions, and automated workflows to streamline infrastructure provisioning and application delivery. The position requires deep technical expertise, strong troubleshooting skills, and an ownership mindset to manage initiatives from design to production.

Key Responsibilities

• Design and operate reliable cloud-native platforms on GCP, with GKE as a core component.
• Build reusable platform blueprints, infrastructure modules, and abstractions for standardized, self-service infrastructure provisioning.
• Manage Kubernetes cluster lifecycle, including upgrades, scaling, performance, and resource utilization.
• Apply infrastructure-as-code and platform engineering practices to enhance reliability, security, and cost efficiency.
• Build and maintain GitHub Actions/Workflows and GitOps deployment pipelines using Argo CD or Flux.
• Implement policy-driven deployments and automated guardrails using OPA/Gatekeeper and Kyverno.
• Develop automation and internal tooling with Python, Bash, or Go to eliminate manual operations and improve developer experience.
• Design and troubleshoot Kubernetes networking, ingress, service discovery, and traffic management.
• Work with gateways and service mesh technologies such as Istio, NGINX, and HAProxy.
• Diagnose complex production issues across cloud infrastructure, Kubernetes, and deployment workflows.
• Collaborate with engineering teams to simplify application onboarding and improve platform adoption.
• Drive initiatives from design and implementation through to production readiness and operational support.
• Apply security best practices across IAM, workload identity, network policies, and platform governance.
• Identify cost optimization opportunities through capacity planning, autoscaling, workload rightsizing, and resource utilization improvements.

Required Qualifications and Experience

• 5-10 years of experience in a relevant field.
• Proven experience designing and operating reliable cloud-native platforms on GCP, particularly with GKE.
• Strong background in infrastructure-as-code and platform engineering practices.
• Proficiency in building and maintaining GitOps deployment pipelines.
• Experience with automation and internal tooling development using Python, Bash, or Go.
• Expertise in Kubernetes networking and traffic management.
• Demonstrated ability to troubleshoot complex production issues.

Preferred Qualifications

• Experience with MLOps, AI infrastructure, GPU workloads, and Kubernetes-based AI platforms.
• Exposure to OCI or AWS in multi-cloud environments.
• Familiarity with observability tools such as Prometheus, Grafana, Loki, or Datadog.

Work Environment

This is a full-time position located in Riyadh, Riyadh, Saudi Arabia. The role involves working within a collaborative team focused on advancing AI solutions for enterprise clients.