Cloud ML Platform Engineer
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO, Canada
CAD 80K-115K (estimate) Mid-level Full Time
Tasks
- Administer Databricks on AWS
- Apply resilience patterns
- Build Airflow DAGs
- Build CI/CD pipelines
- Configure API Gateway
- Create reusable pipeline frameworks
- Deploy containers to Kubernetes EKS
- Design and build REST APIs
- Design and build gRPC APIs
- Enforce compliance and access control standards
- Enforce data quality frameworks
- Implement OAuth2 and RBAC
- Implement data cataloging and lineage
- Manage ML lifecycle with MLflow
- Manage infrastructure as code with CDK
- Manage infrastructure as code with Terraform
- Provision AWS infrastructure
- Set up observability
- Translate requirements into platform capabilities
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS | AWS API | AWS API Gateway | AWS CDK | Amazon CloudWatch | Amazon EKS | Apache Airflow | CI/CD | Circuit Breakers | Data Catalog | Data Lineage | Data Quality | Databricks | Datadog | Docker | EC2 | GRPC | IAM | Kong | Kubernetes | MLflow | OAuth2 | OpenAPI | Python | RBAC | REST | Rate Limiting | Retries | S3 | Terraform | Unity Catalog | VPC
Education
N/A
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