
Artificial Intelligence Cloud Engineer
2 days ago
Job Description:
As a seasoned Cloud Engineer, you will be responsible for end-to-end deployment, configuration, and reliability of cloud-based product demo environments, integrating artificial intelligence pipelines and engineering practices. Your role demands deep cloud infrastructure skills, including ECS, Lambda, RDS, S3, and automation using Terraform.
Key Responsibilities:
- Architect, provision, and maintain cloud demo environments leveraging services such as EC2, ECS/Fargate, Lambda, S3, RDS, DynamoDB, IAM, KMS, API Gateway, CloudWatch, and AWS Glue.
- Build and maintain Terraform modules to automate environment provisioning, resets, and decommissioning.
- Integrate cloud AI solutions (Bedrock, SageMaker) for scenario automation, and real-time demo enrichment.
- Collaborate with Demo COE and Product SMEs to evaluate scenarios, and implement custom flows.
- Implement RBAC, feature flag toggling, and configuration management via AWS Systems Manager and AppConfig.
- Ensure environmental health with automated monitoring, alerting, and load testing (CloudWatch, AWS Load Balancer, X-Ray).
- Support automated QA gates, metrics capture, and post-demo knowledge management.
- Provide secondary support for cloud engineering (AWS Glue, Redshift, Athena) for ingesting, transforming data.
- Contribute to hybrid cloud demos and integrations with Azure as needed.
Qualifications:
- Minimum 5 years' cloud engineering experience, with strong C# or Java or Python development.
- Terraform expertise for cloud IaC.
- Experience with AI or ML services (Bedrock, SageMaker, Lambda).
- Professional certification in cloud computing is preferred.
Benefits:
As a Cloud Engineer with Artificial Intelligence, you will have the opportunity to work on cutting-edge projects, collaborate with innovative teams, and contribute to the growth of our organization.
We offer a dynamic and supportive work environment, with opportunities for professional development and career advancement.
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