For more details, please connect with Hiba Kidwai at 609-582-4870 or email at Hibak@Vgroupinc.com
Job Title: Cloud Platform Engineer
Duration: start dates upon award up to a maximum of thirty-six (36) months
Start Date: ASAP
Location: New York City
Position Type: Contract
No. of Hours- 40/hrs
Summary
We are seeking a skilled Cloud Platform Engineer to support the SNAP Payment Error Rate (CAP) Reduction initiative. This role is responsible for designing, building, and operating scalable, secure, and highly available cloud-based data and AI platforms on AWS. The engineer will play a key role in enabling data processing, analytics, machine learning, and agentic AI solutions that improve program accuracy, compliance, and operational efficiency.
Required Skills:
- Strong experience designing and operating cloud platforms on AWS.
- Hands-on experience with AI/ML services, data engineering, and analytics workflows in cloud environments.
- Experience with Infrastructure-as-Code, automation, and CI/CD pipelines.
- Proficiency with containerization and orchestration platforms (Docker, ECS, EKS, Kubernetes).
- Solid understanding of cloud security, IAM, encryption, logging, and compliance best practices.
- Strong troubleshooting, documentation, and communication skills.
Preferred Skills:
- Experience supporting government, public sector, or compliance-driven systems.
- Experience with LLM-based systems, agentic AI, or autonomous workflows.
- Familiarity with large-scale data processing and analytics platforms.
Responsibilities:
- Monitor and optimize database and system performance using AWS CloudWatch metrics, alarms, and logs, proactively identifying and resolving performance and reliability issues.
- Design, develop, deploy, and optimize AI/ML solutions using AWS AI services such as SageMaker and Amazon Bedrock, supporting model training, inference, and production integration.
- Automate operational and maintenance tasks using AWS Lambda, AWS Systems Manager (SSM), and Infrastructure-as-Code (IaC) tools including CloudFormation and Terraform.
- Design, build, and maintain scalable, fault-tolerant data processing and analytics workflows using AWS services such as API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, and 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 and support ETL/ELT pipelines and data architectures that enable 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, and Kubernetes.
- Apply security and compliance best practices across AI and data platforms, including IAM least-privilege access, encryption at rest and in transit, audit logging, and regulatory controls.
- Develop and maintain technical documentation, including AI architectures, data pipelines, infrastructure configurations, and operational runbooks.
- Collaborate with cross-functional teams including data scientists, analysts, security teams, and program stakeholders to deliver reliable and compliant cloud solutions.
