Cloud and Things · 5 hours ago
AWS Cloud Platform Engineer - (AWS AI/ML EC2, RDS, S3,Linux/Unix scripting)
New York, United States
Full-time
Hybrid
Mid, Senior Level
$125K/yr - $155K/yr
7+ years expCloud and Things is focused on transforming the public sector’s IT environment by solving complex IT challenges. They are seeking an AWS Cloud Platform Engineer to design, automate, and support secure AWS-based platforms for data processing and AI/ML workloads.
ConsultingInformation Technology
Responsibilities
Design, provision, and maintain secure, highly available AWS cloud infrastructure using services such as EC2, RDS, S3, IAM, KMS, and multi-AZ architectures
Implement and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, and Ansible to automate environment provisioning and configuration
Administer and optimize Linux/Unix systems, developing automation scripts in Bash, Shell, and Python to improve reliability and operational efficiency
Build and support CI/CD pipelines (e.g., Jenkins) to deploy cloud infrastructure, AI agents, and machine learning models into production environments
Deploy, monitor, and manage containerized workloads and MLOps platforms using Kubernetes, ECS, or EKS
Architect and maintain scalable data processing and ETL/ELT workflows leveraging AWS managed services, Python, and PySpark
Integrate and support AWS AI/ML services such as SageMaker, Bedrock, and OpenSearch (vector databases) to enable AI-driven applications
Monitor system performance, security, and compliance using CloudWatch, CloudTrail, AWS Backup, and networking controls, ensuring operational resilience and governance
Qualification
Required
7+ years of hands-on AWS experience: EC2, RDS, S3, CloudWatch, CloudTrail, IAM, KMS, AWS Backup, and Lambda
7+ years of experience in Linux/Unix administration and automation scripting (Bash, Shell, Python)
7+ years of experience with Infrastructure as Code (IaC) and automation tools, including CloudFormation, Terraform, and Ansible, for provisioning and maintaining
7+ years of knowledge in AWS networking: VPC, subnets, NACLs, security groups, Route 53, and multi-AZ architectures
5+ years of experience with 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
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
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
Associates degree in related field or combination of education and experience
Company
Cloud and Things
Cloud and Things is an experienced State and Local Government IT consulting firms.
51-200 employees
H1B Sponsorship
Cloud and Things has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (3)
2022 (1)
Funding
Current Stage
Growth StageCompany data provided by crunchbase