Mid/Senior DevOps Engineer (Egypt)

About the role

Mid/Senior DevOps Cloud Engineer Position Type: Remote (Egypt) About Intelmatix 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 Managemen t: 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). Containerization: Strong proficiency with Docker and orchestration via Google Kubernetes Engine (GKE) or similar services in other cloud prroviders. IaC Mastery: Proven experience managing infrastructure through Terraform. CI/CD: Experience building automation pipelines using GitHub Actions or similar tools. Scripting: Proficiency in Python and Bash for task automation and tooling. Linux Systems: Solid understanding of Linux system administration and performance tuning. Preferred Qualifications Certifications: Google Professional Cloud DevOps Engineer or Professional Cloud Architect or any cloud certifications for other cloud providers. Multi-Cloud: Familiarity with AWS (EC2, S3, EKS) or Azure (AKS, App Service) is highly desirable. Data/MLOps: Familiarity with GCP-specific data tools (BigQuery, Vertex AI, Dataflow) or MLOps tools (MLflow, Airflow). Edge Security: Understanding of Zero Trust Network (ZTN) concepts and Cloudflare. Database Admin: Basic experience with PostgreSQL administration. Startup Mindset: Experience working in fast-paced, agile, deep-tech environments. Tech Stack Primary Cloud: GCP (GKE, GCE, BigQuery). Secondary Clouds: AWS, Azure, OCI. IaC: Terraform, Terragrunt. CI/CD: GitHub Actions. Security: Cloudflare (ZTN). Monitoring: Prometheus Stack (Prometheus, Grafana, Loki). Application: Kong (API Gateway), Java Spring Boot, Python, Go. Data: GCP Dataflow, BigQuery, PostgreSQL. Why Join Us? At Intelmatix, you'll work on impactful technology alongside a global team of top-tier professionals. We offer the autonomy to innovate, the resources to grow, and the opportunity to shape the future of AI-enabled decision-making across industries.