Lead Consultant | Cloud Platform | Amazon Webservices DevOps

Job title:

AWS + Terraform with AI

Work Location:

Tampa, FL

Vendor Rate: ***/hr

Minimum years of experience: 8+ Yrs

Would you require the candidates to meet you for in person interview? No

Is Skype/Web Ex interview,OK? OK

Is this onsite/remote position:
Hybrid

If onsite, will you be considering relocation candidates:
No

Does this position require Visa independent candidates only? Yes

We are looking for an experienced AWS Dev Ops Engineer with strong expertise in Terraform, CI/CD automation, and AI/ML platform deployment. The ideal candidate will be responsible for building, automating, and managing scalable cloud infrastructure on AWS while enabling AI/ML workloads through robust Dev Ops practices. This role requires hands-on experience in Infrastructure as Code (IaC), containerization, cloud-native technologies, MLOps, and automation.

Cloud Infrastructure & Automation

• Design, deploy, and manage highly available and secure AWS cloud environments.
• Develop and maintain Infrastructure as Code (IaC) using Terraform.
• Automate cloud provisioning, configuration management, and environment setup.
• Implement cloud governance, security, compliance, and cost optimization strategies.

Dev Ops & CI/CD

• Design and manage CI/CD pipelines using Git Hub Actions, Jenkins, Git Lab CI/CD, or AWS Code Pipeline.
• Automate application deployments across development, testing, and production environments.
• Implement Git Ops and Dev Sec Ops  best practices.
• Manage source control repositories and branching strategies.

AI/ML & MLOps

• Deploy, automate, and manage AI/ML solutions on AWS.
• Support ML lifecycle management, including model training, validation, deployment, and monitoring.
• Work with Amazon Sage Maker for model development and deployment.
• Implement MLOps pipelines for continuous model integration and delivery.
• Collaborate with Data Scientists and AI Engineers to operationalize machine learning models.

Containerization & Orchestration

• Build and manage containerized workloads using Docker.
• Deploy and manage Kubernetes clusters using Amazon EKS.
• Implement Helm charts and Kubernetes best practices for scalable deployments.

Monitoring & Security

• Configure monitoring, logging, and alerting using Cloud Watch, Prometheus, Grafana, and ELK Stack.
• Implement IAM policies, security controls, secrets management, and vulnerability scanning.
• Monitor infrastructure health and optimize system performance.

• Generative AI deployment experience using Amazon Bedrock, OpenAI, Anthropic, or Hugging Face models.
• Experience with LLM deployment, vector databases, and RAG architectures.
• Knowledge of Lang Chain, AI Agents, and AI workflow automation.
• Exposure to Data Engineering tools such as Glue, Athena, EMR, or Redshift.
• Experience implementing AI governance and model security frameworks.

Custom Fields:

Name:
Intake Call Requested

Value: true

Name:
Intake Call Completed

Value: true