Nomagic

DevOps Engineer

• Own and scale the infrastructure behind our Computer Vision ML Cloud Service.
• Work on cloud-native ML infrastructure at scale.
• Design multi-tenant infrastructure that scales.
• Build standardized, repeatable deployment patterns across multiple customer environments.
• Optimize data pipelines for Computer Vision model training and deployment.
• Build monitoring and alerting systems for ML service health and performance.
• Implement automated CI/CD pipelines for ML model deployment with safe rollback strategies.
• Deploy and manage applications on Kubernetes clusters using Helm charts and ArgoCD.
• Manage cloud resources consistently using Infrastructure as Code with Terraform.
• Ensure high availability, security, and cost optimization of cloud services.
• Occasionally handle hardware integration tasks (nice to have).

Senior DevOps Engineer