AWS + Terraform with AI

Job title:

AWS + Terraform with AI

Work Location:

Tampa, FL
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

Job Description:

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.

Key Responsibilities
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.

Nice-to-Have
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.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.