Senior Cloud Platform Engineer-Mozn Full Time Permanent

Job Overview

Mozn is seeking an experienced Senior Cloud Platform Engineer to develop, manage, and optimize secure, scalable, and cost-efficient cloud infrastructure using Google Cloud Platform (GCP).

The successful candidate will lead cloud platform engineering initiatives, focusing on Google Kubernetes Engine (GKE), infrastructure automation, GitOps, and cloud-native application delivery. This role involves building reusable infrastructure solutions, improving developer productivity, and maintaining reliable production environments.

The position requires strong technical expertise, independent problem-solving capabilities, and the ability to manage complex engineering projects from initial design through production deployment.

About Mozn

Mozn is an Enterprise AI company specializing in Financial Crime Prevention and Enterprise Knowledge Intelligence. The company develops AI-powered solutions that help organizations improve decision-making, operational efficiency, and business performance.

Key Responsibilities

• Design, deploy, and maintain scalable cloud-native infrastructure on GCP, with a primary focus on Google Kubernetes Engine (GKE).
• Develop reusable infrastructure modules, platform templates, and self-service provisioning solutions to standardize application deployment.
• Manage Kubernetes cluster operations, including upgrades, scaling, performance monitoring, and resource optimization.
• Implement infrastructure-as-code (IaC) using Terraform, Pulumi, Crossplane, or equivalent technologies.
• Build and maintain automated CI/CD workflows using GitHub Actions and GitOps tools such as Argo CD or Flux.
• Establish secure deployment controls through policy-as-code solutions, including OPA/Gatekeeper and Kyverno.
• Develop automation scripts and internal engineering tools using Python, Bash, or Go to reduce manual processes.
• Configure and troubleshoot Kubernetes networking, ingress, service discovery, gateways, and traffic management using technologies such as Istio, NGINX, and HAProxy.
• Investigate and resolve complex production issues involving cloud infrastructure, Kubernetes clusters, and deployment pipelines.
• Collaborate with software engineering teams to simplify application onboarding and improve internal platform adoption.
• Apply cloud security best practices across IAM, workload identity, network policies, and platform governance.
• Improve infrastructure cost efficiency through capacity planning, autoscaling, workload rightsizing, and resource utilization monitoring.
• Take ownership of platform engineering initiatives, ensuring successful implementation, production readiness, and ongoing operational support.

Required Qualifications, Skills & Experience

• Minimum 6 years of professional experience in cloud engineering, platform engineering, infrastructure engineering, or a related technical field.
• Advanced hands-on experience with Google Cloud Platform (GCP), Kubernetes, and production environments running Google Kubernetes Engine (GKE).
• Strong knowledge of infrastructure-as-code technologies, including Terraform, Pulumi, Crossplane, or comparable tools.
• Practical experience developing GitOps deployment pipelines using Argo CD or Flux alongside GitHub Actions and automated workflows.
• Familiarity with policy-as-code frameworks such as OPA/Gatekeeper and Kyverno.
• Proficiency in at least one scripting or programming language, including Python, Bash, or Go.
• Strong understanding of Linux, cloud networking, Kubernetes architecture, gateways, and distributed systems.
• Experience developing reusable infrastructure components, standardized platform templates, and developer self-service capabilities.
• Excellent troubleshooting, analytical, and problem-solving skills, with the ability to resolve complex production challenges independently.
• Strong communication and collaboration skills, supported by the ability to manage technical initiatives from design to deployment jobs in Saudi.

Preferred Technical Knowledge

• Experience with MLOps, AI infrastructure, GPU-based workloads, or Kubernetes environments supporting AI applications.
• Exposure to Oracle Cloud Infrastructure (OCI) or Amazon Web Services (AWS) within multi-cloud environments.
• Familiarity with monitoring and observability technologies such as Prometheus, Grafana, Loki, or Datadog.

Employee Benefits

• Competitive compensation package.
• Comprehensive health insurance.
• Opportunity to work with advanced enterprise AI technologies.
• Professional growth within a rapidly expanding technology company.
• Ownership and autonomy in delivering engineering initiatives.
• Collaborative, innovative, and inclusive working environment.

How to Apply

Interested candidates with relevant cloud infrastructure, GCP, Kubernetes, and platform engineering experience are encouraged to APPLY .

Review the position requirements and submit your updated CV through Mozn’s official recruitment portal.