Senior Cloud Platform Engineer

About Mozn

Mozn is an Enterprise AI company specializing in Financial Crime Prevention and Enterprise Knowledge Intelligence. The company focuses on building AI solutions that deliver business value, foster trust, and empower organizations through augmented intelligence. Mozn operates with a diverse and collaborative team in Riyadh, Riyadh Province, committed to excellence and impactful work.

The Role of Senior Cloud Platform Engineer

Mozn is seeking a Senior Cloud Platform Engineer to join its team in Riyadh. This full-time role involves designing, building, and evolving scalable, secure, and cost-efficient cloud platforms on GCP. The engineer will be responsible for creating reusable platform blueprints, infrastructure abstractions, and automated workflows to streamline infrastructure provisioning and application delivery. The position requires deep technical expertise, strong troubleshooting capabilities, and an ownership mindset to manage initiatives from design to production.

Key Responsibilities

• Design and operate reliable cloud-native platforms on GCP, with a focus on GKE.
• 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.
• Develop and maintain GitHub Actions/Workflows and GitOps deployment pipelines using Argo CD or Flux.
• Implement policy-driven deployments and automated guardrails with OPA/Gatekeeper and Kyverno.
• Create automation and internal tooling using Python, Bash, or Go to reduce 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

• 6-10 years of experience in cloud platform engineering or a related field.
• Demonstrated expertise in designing and operating cloud-native platforms on GCP, particularly with GKE.
• Proficiency in infrastructure-as-code principles and tools.
• Strong skills in GitOps and automation, including GitHub Actions/Workflows and deployment pipelines.
• Experience with policy-driven deployments using OPA/Gatekeeper and Kyverno.
• Ability to develop automation and internal tooling using Python, Bash, or Go.
• Solid understanding of Kubernetes networking, ingress, and traffic management.
• Experience with gateways and service mesh technologies like Istio, NGINX, and HAProxy.
• Proven ability to diagnose 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 based in Riyadh, Saudi Arabia. The role involves working within a collaborative team focused on innovation and delivering tangible business value through AI solutions.