Contact Details:
Shawn
Email:
Cell:
Job Title: Cloud Platform Engineer
Location: NYC NY
Duration: 12 Months
Years of Experience: 8 Years
Required Hours/Week: 40 Hours/Week
Duties and Responsibilities:
- Monitor database and system performance using CloudWatch metrics alarms and logs; troubleshoot proactively.
- Develop deploy and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock supporting model training inference and integration into production systems.
- Automate operational tasks using AWS Lambda Systems Manager (SSM) and Infrastructure-as-Code tools such as CloudFormation or Terraform.
- Design build and maintain scalable fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway S3 EC2 RDS Lambda Glue Athena DynamoDB EMR Kinesis DataSync.
- Design and integrate agentic AI systems including LLM-based agents multi-agent workflows and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
- Implement ETL/ELT pipelines and data architectures that support machine learning analytics and intelligent agent-based applications.
- Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS EKS or Kubernetes.
- Apply security best practices across AI and data platforms including IAM least-privilege access encryption audit logging and compliance controls.
- Maintain technical documentation for AI architectures data pipelines infrastructure configurations and operational runbooks.
Contact Details: Shawn Email: Cell: Job Title: Cloud Platform Engineer Location: NYC NY Duration: 12 Months Years of Experience: 8 Years Required Hours/Week: 40 Hours/Week Duties and Responsibilities: Monitor database and system performance using CloudWatch metrics alarms and ...
Contact Details:
Shawn
Email:
Cell:
Job Title: Cloud Platform Engineer
Location: NYC NY
Duration: 12 Months
Years of Experience: 8 Years
Required Hours/Week: 40 Hours/Week
Duties and Responsibilities:
- Monitor database and system performance using CloudWatch metrics alarms and logs; troubleshoot proactively.
- Develop deploy and optimize AI/ML solutions using AWS AI services including SageMaker and Bedrock supporting model training inference and integration into production systems.
- Automate operational tasks using AWS Lambda Systems Manager (SSM) and Infrastructure-as-Code tools such as CloudFormation or Terraform.
- Design build and maintain scalable fault-tolerant data processing and analytics workflows on AWS using services such as API Gateway S3 EC2 RDS Lambda Glue Athena DynamoDB EMR Kinesis DataSync.
- Design and integrate agentic AI systems including LLM-based agents multi-agent workflows and autonomous orchestration pipelines using frameworks such as LangChain and LangGraph.
- Implement ETL/ELT pipelines and data architectures that support machine learning analytics and intelligent agent-based applications.
- Support CI/CD pipelines for AI models and data workflows using Jenkins and container-based platforms such as ECS EKS or Kubernetes.
- Apply security best practices across AI and data platforms including IAM least-privilege access encryption audit logging and compliance controls.
- Maintain technical documentation for AI architectures data pipelines infrastructure configurations and operational runbooks.
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