Cloud Platform Engineer

About This Role

Seeking an experienced Cloud Platform Engineer with a strong background in AWS, AI/ML, and data engineering to support large-scale cloud platforms and intelligent data-driven systems within a mission-critical government environment.

Responsibilities

• Monitor system and database performance using AWS CloudWatch metrics, alarms, and logs; proactively troubleshoot and resolve issues
• Design, develop, deploy, and optimize AI/ML solutions using AWS services such as SageMaker and Bedrock, supporting model training, inference, and production integration
• Automate infrastructure and operational workflows using AWS Lambda, Systems Manager (SSM), and Infrastructure as Code (IaC) tools such as CloudFormation and Terraform
• Design, build, and maintain scalable, fault-tolerant AWS data and analytics platforms using API Gateway, S3, EC2, RDS, Lambda, Glue, Athena, DynamoDB, EMR, Kinesis, and DataSync
• Architect and integrate agentic AI systems, including LLM-based agents, multi-agent workflows, and autonomous orchestration pipelines using LangChain and LangGraph
• Build and support ETL/ELT pipelines and data architectures for machine learning, analytics, and intelligent agent-based applications
• Support CI/CD pipelines for AI models and data workflows using Jenkins, ECS, EKS, or Kubernetes
• Apply cloud and AI security best practices, including IAM least-privilege, encryption, audit logging, and compliance controls
• Maintain technical documentation covering AI architectures, data pipelines, infrastructure configurations, and operational runbooks

Requirements

• 10+ years of hands-on AWS experience including EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda
• 10+ years of Linux/Unix administration and automation scripting using Bash, Shell, and Python
• 10+ years of Infrastructure as Code (IaC) and automation experience using CloudFormation, Terraform, and Ansible
• 10+ years of AWS networking experience including VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures
• 7+ years of CI/CD experience using Jenkins, IaC, and container platforms (ECS, EKS, Kubernetes) supporting MLOps and autonomous workflows
• 6+ years designing and maintaining scalable data processing workflows using AWS managed services and Python/PySpark, with strong knowledge of ETL/ELT architectures
• 6+ years of experience with AWS AI/ML services such as SageMaker, Bedrock, and OpenSearch / vector databases
• Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks including TensorFlow, PyTorch, and Hugging Face

Qualifications

• 10+ years of hands-on AWS experience, Linux/Unix administration, infrastructure as code, and AWS networking. 7+ years of CI/CD experience. 6+ years designing and maintaining scalable data processing workflows and AWS AI/ML services.

Nice to Have

• Local candidates
• US Citizens

Skills

* Required skills