Jobs via Dice · 1 day ago
Cloud Platform Engineer
New York, NY
Full-time
Onsite
Mid LevelDice is the leading career destination for tech experts at every stage of their careers, and they are seeking a Cloud Platform Engineer for their client, Boston Associate Software Systems. The role involves developing and optimizing AI/ML solutions on AWS, automating operational tasks, and maintaining scalable data processing workflows.
Computer Software
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
Qualification
Required
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
Company
Jobs via Dice
Welcome to Jobs via Dice, the go-to destination for discovering the tech jobs you want.
0-1 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase