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# Senior AWS Cloud Engineer

- **Company:** Intellibee, Inc.
- **Location:** Malvern, AR, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Application Performance Management, HTML5, Microsoft Azure, Cascading Style Sheets (CSS), Cloud Engineering, Continuous Integration, DevOps, Amazon DynamoDB, Github, Identity and Access Management, Python (Programming Language), Machine Learning, E2e Testing, TypeScript, Tailwind, ReactJS, Large Language Models, Backend, Cloudformation, Deployment Automation, Machine Learning Operations, Front End Software Development, Functional Programming, Cloudwatch, Software Coding, JestJS, Terraform, Splunk, Docker, Microservices
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=e942d6be48a7025a

## About the Role

* Front-End Development
 * Build responsive, accessible UI using HTML5, CSS3, TypeScript, and React.
 * Optimize performance and implement unit/E2E testing (e.g., Vitest, Tailwind).
 * Back-End Development
 * Develop scalable services and APIs using TypeScript and Python.
 * Design and maintain microservices architecture.

## Description

A Full Stack Cloud Engineer responsible for building and maintaining modern applications across front-end and back-end, leveraging AWS for scalability and security, while incorporating AI/ML capabilities such as LLM-powered features, intelligent APIs, and automation workflows., * Deploy and manage applications on AWS (ECS, Lambda, S3, DynamoDB).

 * Implement IaC (CloudFormation/Terraform) and CI/CD via GitHub.
 * Apply AWS security best practices (IAM, secure design).
 * Poly cloud understanding a plus (GCP, Azure)
 * DevOps & Automation
 * Automate deployments, monitoring, and scaling (CloudWatch, Splunk, Docker/ECS).
 * Optimize application performance and reliability.
 * AI / ML Engineering
 * Build and integrate AI-driven features (LLMs, intelligent APIs, automation workflows).
 * Implement RAG patterns, AI pipelines, and model integrations (Bedrock, SageMaker).
 * Optimize and monitor models for accuracy, drift, bias, and observability.
 * Leverage Claude/equivalent frontier models to engineer solutions

Notes on the role:

 * Senior AWS Cloud engineer on the infrastructure side but need coding skills on the back end app dev side
 * Front end experience a plus but not necessarily needed
 * Python/typescript for coding
 * Building ci cd pipelines
 * Excellent AWS infrastructure skills
 * Understand AI capabilities, handle RAG patterns


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