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Urgent Need: AWS Full Stack Cloud Engineer - Malvern, PA (Hybrid)

Drevol LLCMalvern, PA🇺🇸United StatesPosted 13 Aug 2026

Why This Role Stands Out

This hybrid AWS Full Stack Cloud Engineer role offers an exciting opportunity to build innovative applications integrating AI/ML capabilities on a scalable AWS platform. You will thrive in this position if you are a mid-senior engineer with expertise in both front-end and back-end development, cloud infrastructure, and a passion for leveraging cutting-edge AI technologies. Apply now to join a dynamic team and advance your career in cloud and AI engineering.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Hi,
Hope you are doing well.
 
This is Tahir from Drevol LLC. Please find below the job description for your reference and please let me know if you are interested in this position.
 
Job Title: AWS Full Stack Cloud Engineer
Location: Malvern, PA (Hybrid)
Duration: 12 Months

Responsibilities
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.

Qualifications
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.

Cloud Engineering
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 (Google Cloud Platform, 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

Skills

Docker
DynamoDB
Microservices
AWS
Splunk
Azure
CloudFormation
Google Cloud
LLM
Python
React
Terraform
TypeScript
Vitest

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