Cloud Engineer
Tasks
- Apply security privacy and governance controls for healthcare data
- Automate cloud operations and monitoring
- Build MLOps training and inference platforms
- Design cloud and hybrid infrastructure for analytics workloads
- Develop CI CD deployment pipelines for ML and GenAI
- Establish security compliance guardrails
- Execute release deployment and configuration management processes
- Implement Infrastructure as Code provisioning and configuration
- Implement observability monitoring for production systems
- Manage model and artifact storage and registry
- Operate cloud infrastructure for AI ML workloads
- Optimize cloud cost performance
- Troubleshoot complex cloud system issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Active Directory | Azure DevOps | Azure Machine Learning | Azure OpenAI | Bedrock | BigQuery | CI/CD | Cloud platform | Continuous Deployment | Continuous integration | Data Engineering | Databricks | Docker | ELT | ETL | Embeddings | Encryption | Exchange | GitHub Actions | Google Cloud | Google Cloud Platform | Grafana | HIPAA | IIS | Infrastructure as Code | Key Management | Kubernetes | Linux | MLOps | MLflow | Machine Learning | Microsoft Azure | Monitoring | Observability | Prometheus | Prompt engineering | Python | RAG | SageMaker | Spark | Synapse | Terraform | Vector Databases | Vertex AI | Virtualization | Windows server | “as-code”
Education
Roles
Cloud Engineer | Cloud) | DevOps | DevOps Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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