AWS DevOps / MLOps Engineer
Tasks
- Build automate and manage AWS infrastructure for production and AI ML workloads
- Design scalable AWS cloud environments
- Develop Infrastructure as Code with CloudFormation
- Develop Infrastructure as Code with Terraform
- Develop and optimize CI/CD pipelines with Azure DevOps
- Develop and optimize CI/CD pipelines with GitHub Actions
- Develop infrastructure as code with AWS CDK
- Implement and maintain CI/CD pipelines
- Implement reliability scalability observability security and performance best practices
- Integrate AI tooling into engineering workflows
- Participate in architecture planning and troubleshooting
- Support MLOps workflows and infrastructure
- Support deployment monitoring and automation
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS CDK | AWS Step Functions | Amazon Web Services | Amplify | Azure DevOps | CI/CD | CloudFormation | CloudWatch | DevOps | DynamoDB | ECS | EKS | GitHub Actions | IAM | Infrastructure as Code | Lambda | Logging | MLOps | Monitoring | Oracle | Performance optimization | PostgreSQL | Python | RDS | Scripting | Step Functions | Terraform | Web Services | “as-code”
Education
Roles
AWS DevOps | AWS DevOps Engineer | DevOps Engineer | Engineer | MLOps Engineer
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