Intelmatix is a pioneering deep-tech AI company founded by MIT technologists, with a global presence in Riyadh, London, and Boston. We are on a mission to transform businesses into cognitive enterprises through Decision Intelligence. Our technology blends cutting-edge AI with real-world applications, delivering scalable, secure, and data-driven solutions to global clients.
Role Overview
We are looking for a highly motivated Mid/Senior DevOps Cloud Engineer with a specialized focus on Google Cloud Platform (GCP) to join our Platform Engineering team. You will play a critical part in architecting, shaping, and supporting the infrastructure that powers our AI-driven platforms.
This role is ideal for a GCP expert who thrives on infrastructure automation, cloud-native solutions, and enabling the seamless deployment of complex applications, including AI/ML models. While GCP is our primary focus for this role, exposure to AWS and Azure is a significant plus as we navigate multi-cloud environments.
Key Responsibilities
GCP Infrastructure Management: Architect, maintain, and optimize cloud infrastructure on GCP with a focus on reliability, scalability, and cost-efficiency.
Infrastructure as Code (IaC): Automate global infrastructure provisioning using Terraform to ensure consistent environments across the lifecycle.
CI/CD Orchestration: Build and maintain robust CI/CD pipelines for application, data, and model deployment workflows (GitHub Actions).
AI/ML Collaboration: Work closely with Data Science teams to deploy and monitor machine learning models and analytical services.
Security & Networking: Implement and enforce security best practices, including IAM, VPC service controls, and Zero Trust architectures.
Observability: Set up and maintain modern observability stacks (Prometheus, Grafana, Loki) for proactive monitoring and alerting.
Hybrid/Multi-Cloud Strategy: Assist in managing cross-cloud integrations, leveraging your knowledge of AWS and Azure where applicable.
Required Qualifications
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
Experience: 3–5 years of dedicated experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles.
GCP Expertise (Must-Have): Deep hands-on experience with Google Cloud services (e.g., GCE, GKE, GCS, Cloud SQL, IAM, and VPC).</s