AWS Cloud Platform Engineer AWS AI​/ML EC, RDS, S3,Linux​/Unix scripting

Overview

Location:

NYC - Hybrid

Salary: $125,000 - $155,000

This is an exempt position. Salary commensurate with experience.

We are seeking an AWS Cloud Platform Engineer to support our NYC client. This role will design, automate, and support secure, scalable AWS-based platforms enabling data processing, AI/ML workloads, and production‑grade MLOps. The ideal candidate will be highly analytical, automation‑focused, and comfortable supporting complex, mission‑critical systems in a large enterprise or public‑sector environment.

• 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, Cloud Formation, 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 Sage Maker, Bedrock, and Open Search (vector databases) to enable AI‑driven applications.
• Monitor system performance, security, and compliance using Cloud Watch, Cloud Trail, AWS Backup, and networking controls, ensuring operational resilience and governance.

• 7+ years of hands‑on AWS experience: EC2, RDS, S3, Cloud Watch, Cloud Trail, 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 Cloud Formation, Terraform, and Ansible.
• 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 Sage Maker, Bedrock, and vector databases (Open Search).
• Strong understanding of machine learning algorithms, NLP concepts, and deep learning frameworks such as Tensor Flow, PyTorch, or Hugging Face.
• Associate's degree in a related field or a combination of education and experience.

Cloud and Things complies with all applicable federal, state, and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.

Cloud and Things utilizes artificial intelligence (AI) tools to assist our recruiting team in evaluating candidate applications for streamlining, consistency, efficiency, and thoroughness. All hiring decisions are ultimately made by our human recruiting professionals.

Our AI tools assist by:

• Analyzing resumes against job requirements
• Ensuring consistent review standards across all applications

AI serves as a support tool only. As noted above, all candidate selection and hiring decisions are made by experienced human recruiters. Your unedited resume will be processed by our AI tools as part of this evaluation.

Cloud and Things Data Handling:

• Your information is processed securely and used exclusively for recruitment purposes.
• Cloud and Things may store…