Cloud Platform Engineer

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 2 days ago

Vacancies: 1 Vacancy

Job Summary

!!! Position is fully on-site !!!

Project Name: SNAP Payment Error Rate (CAP) Reduction Project

SNAP Payment Error Rate (CAP) reduction initiative is a top-priority agency-wide strategic effort aimed at mitigating federal oversight findings and avoiding substantial financial penalties amounting to millions of partnership with McKinsey the agency is leveraging artificial intelligence Robotic Process Automation and advanced analytics to strengthen eligibility case processing accuracy and quality control review. This initiative will modernize error detection introduce proactive prevention capabilities and enhance operational decision-making through data-driven insights. The outcome is expected to reduce payment inaccuracies accelerate case resolution improve compliance and increase public trust in program integrity.

TASKS & DUTIES:

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.

REQUIRED SKILLS

Minimum 7 years of hands-on AWS experience: EC2 RDS S3 CloudWatch CloudTrail IAM KMS AWS Backup and Lambda.
Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash Shell Python).
Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools including CloudFormation Terraform and Ansible for provisioning and maintaining.
Minimum 7 years of knowledge in AWS networking: VPC subnets NACLs security groups Route 53 and multi-AZ architectures.
Minimum 5 years of experience CI/CD pipelines Jenkins and IaC for deploying AI agents and ML models into production monitoring autonomous workflows and supporting MLOps using Kubernetes ECS or EKS.
Minimum 4 years of experience architecting building and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns.
Minimum 4 years of experience working with AWS AI/ML services such as SageMaker Bedrock and vector databases (OpenSearch).
Strong understanding of machine learning algorithms NLP concepts and deep learning frameworks such as TensorFlow PyTorch or Hugging Face.

If you are interested in getting more information about this opportunity please contact Irina Rozenbergat your earliest convenience.

At Ariel Partners we solve the most difficult problems that inhibit technology from enabling our customers to achieve their goals. Our vision is to be recognized by our stakeholders as an elite provider of IT solutions so when they have their biggest challenges we are on their short list. We are looking for team members who share our values of: Integrity to do the right thing even when it hurts; Commitment to the long-term success and happiness of our customers our people and our partners; Courage to take on difficult challenges accept new ideas and accept incremental failure; and the constant pursuit of Excellence. Ariel Partners is an Equal Opportunity Employer in accordance with federal state and local laws.

Required Experience:

!!! Position is fully on-site !!!Project Name: SNAP Payment Error Rate (CAP) Reduction ProjectSNAP Payment Error Rate (CAP) reduction initiative is a top-priority agency-wide strategic effort aimed at mitigating federal oversight findings and avoiding substantial financial penalties amounting to mil...

!!! Position is fully on-site !!!

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.

REQUIRED SKILLS

Minimum 7 years of hands-on AWS experience: EC2 RDS S3 CloudWatch CloudTrail IAM KMS AWS Backup and Lambda.
Minimum 7 years of experience in Linux/Unix administration and automation scripting (Bash Shell Python).
Minimum 7 years of experience with Infrastructure as Code (IaC) and automation tools including CloudFormation Terraform and Ansible for provisioning and maintaining.
Minimum 7 years of knowledge in AWS networking: VPC subnets NACLs security groups Route 53 and multi-AZ architectures.
Minimum 5 years of experience CI/CD pipelines Jenkins and IaC for deploying AI agents and ML models into production monitoring autonomous workflows and supporting MLOps using Kubernetes ECS or EKS.
Minimum 4 years of experience architecting building and maintaining scalable data processing workflows using AWS managed services and Python (including PySpark); strong understanding of data architecture and ETL/ELT patterns.
Minimum 4 years of experience working with AWS AI/ML services such as SageMaker Bedrock and vector databases (OpenSearch).
Strong understanding of machine learning algorithms NLP concepts and deep learning frameworks such as TensorFlow PyTorch or Hugging Face.