Position: Senior Infrastructure & Multi-Cloud Engineer
Engagement Type: Remote (3-month project, with potential extension)
Client Location: Saudi Arabia (KSA)
Reporting Structure: Reports to Client's Infrastructure/Cloud Operations Lead
Role Overview
We are seeking a Senior Infrastructure & Multi-Cloud Engineer to support a remote engagement for a client in Saudi Arabia. The role covers multi-cloud infrastructure operations (GCP and AWS), DevOps practices, container orchestration (Kubernetes), and endpoint/device management via Microsoft Intune. The ideal candidate is a hands-on, operations-focused engineer comfortable owning infrastructure reliability and automation across a hybrid, multi-cloud environment.
Key Responsibilities
- Design, deploy, and maintain infrastructure across GCP and AWS, ensuring high availability, scalability, and cost efficiency
- Manage and operate Kubernetes clusters (deployment, scaling, monitoring, troubleshooting) in production environments
- Build and maintain CI/CD pipelines and DevOps automation workflows to support development and release cycles
- Implement Infrastructure as Code (IaC) practices (e.g., Terraform) for provisioning and configuration management across cloud environments
- Manage device and endpoint policies through Microsoft Intune, including compliance policies, configuration profiles, and application deployment
- Monitor infrastructure health, performance, and security across cloud and endpoint layers; respond to incidents and perform root cause analysis
- Support cloud cost optimization, resource governance, and tagging/organization standards across GCP and AWS
- Collaborate with the client's internal IT, security, and DevOps teams to align infrastructure operations with broader organizational policies
- Maintain documentation for infrastructure architecture, runbooks, and operational procedures
- Participate in on-call/operational support rotations as required by the client (clarify with client if applicable)
Requirements
Minimum 5–7 years of experience in infrastructure engineering, with solid hands-on multi-cloud experience (GCP and AWS both required)
Strong DevOps background: CI/CD tooling (e.g., Jenkins, GitLab CI, GitHub Actions), scripting/automation (Python, Bash)
Proven hands-on experience managing Kubernetes in production (deployments, Helm, scaling, troubleshooting)
Practical experience with Infrastructure as Code (Terraform strongly preferred)
Hands-on experience with Microsoft Intune for endpoint/device management and compliance
Solid understanding of cloud networking, IAM, and security fundamentals across GCP and AWS
Experience with monitoring/observability tooling (e.g., Prometheus, Grafana, CloudWatch, Stackdriver)
Strong troubleshooting skills across infrastructure, application, and network layers
Ability to work independently in a remote capacity with clear, proactive communication
Skills Required
- 5-7 years infrastructure engineering experience
- Hands-on multi-cloud experience with GCP and AWS
- Proven production Kubernetes management (deployments, Helm, scaling, troubleshooting)
- Strong DevOps background with CI/CD tooling (Jenkins, GitLab CI, GitHub Actions)
- Scripting/automation experience (Python, Bash)
- Infrastructure as Code experience (Terraform)
- Hands-on Microsoft Intune experience for endpoint/device management
- Understanding of cloud networking, IAM, and security fundamentals across GCP and AWS
- Experience with monitoring/observability tooling (Prometheus, Grafana, CloudWatch, Stackdriver)
- Strong troubleshooting skills across infrastructure, application, and network layers
- Ability to work independently in a remote capacity with proactive communication
What We Do
DeepSource stands as a trusted partner for businesses seeking cutting-edge AI services in computer vision, natural language processing, and predictive analytics. With a particular focus on Arabic NLP and ChatGPT bot development, DeepSource is dedicated to empowering companies with groundbreaking solutions that streamline operations, optimize workflows, and enhance user experiences. Our commitment to excellence is evident in our approach to addressing a wide range of AI needs, from hiring top talent and managing end-to-end AI projects to providing tailored consulting and comprehensive training programs. DeepSource's team of experts is equipped with extensive knowledge and experience in various AI technologies, which enables them to develop and deploy advanced solutions across multiple industries. Our adaptive strategies and innovative methodologies allow businesses to stay competitive in today's rapidly evolving digital landscape







