Mid/Senior DevOps Engineer

Intelmatix

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.br>

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.