

Cloud Engineer: AWS & AI
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer: AWS & AI on a 6-month contract, paying $65/hour, fully remote. Key skills include AWS services, Generative AI, React, Node.js, Python, Terraform, and CI/CD. Experience in AI/ML integration is essential.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
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ποΈ - Date discovered
August 30, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, United States
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π§ - Skills detailed
#Python #AutoScaling #Continuous Deployment #Logging #Version Control #Databases #Automated Testing #Cloud #API (Application Programming Interface) #Terraform #AWS (Amazon Web Services) #Deployment #React #Scala #Automation #Monitoring #ML (Machine Learning) #AI (Artificial Intelligence) #DevOps
Role description
Cloud Engineer (Contract)
Duration: 6 months
Compensation: $65/hour
Location: Full Remote
Start Date: Within 1 week
Overview
We are seeking a highly skilled Cloud Engineer with expertise in Generative AI, application development, and infrastructure automation. This role will focus on building a next-generation AI-powered code generation platform, orchestrating workflows, and ensuring scalable deployments across environments.
The ideal candidate will be hands-on with AWS services, Gen AI integrations, and modern DevOps practices, while also capable of contributing to frontend and backend application development.
Responsibilities
Gen AI Engineering
β’ Integrate AWS Bedrock APIs for real-time code generation.
β’ Design AI workflow orchestration using AWS Step Functions for code generation and promotion.
β’ Build and maintain a template instantiation engine with automated code generation capabilities.
β’ Implement real-time AI code generation processing, validation, and monitoring for quality and performance.
β’ Develop automated testing pipelines for AI-generated code.
Application Development
β’ Build React-based frontend interfaces for the code generation platform.
β’ Develop Node.js/Python backend APIs for code generation and promotion pipelines.
β’ Integrate databases for storing generated code, templates, and deployment configurations.
β’ Configure AWS App Runner for automated application deployments.
β’ Implement payment processing and third-party API integrations in generated applications.
β’ Build admin dashboards and embed code editor capabilities within the platform.
β’ Integrate version control systems for managing generated code.
Infrastructure & Terraform Automation
β’ Automate infrastructure provisioning for generated applications using Terraform.
β’ Configure multi-environment pipelines (dev β staging β production) for code promotion.
β’ Automate custom domains, SSL certificates, and database provisioning.
β’ Implement environment variable management for dynamic deployments.
β’ Configure monitoring, logging, and auto-scaling infrastructure.
β’ Ensure continuous deployment pipelines for seamless code promotion.
Qualifications
β’ Strong experience with AWS services (Bedrock, Step Functions, App Runner, databases, etc.).
β’ Hands-on expertise with React, Node.js, and Python.
β’ Proven track record of infrastructure automation using Terraform.
β’ Background in AI/ML integration, particularly with real-time code generation.
β’ Familiarity with CI/CD pipelines, monitoring, and logging frameworks.
β’ Experience in building secure and scalable cloud-native applications.
β’ Excellent communication and problem-solving skills in a fully remote setup.
Cloud Engineer (Contract)
Duration: 6 months
Compensation: $65/hour
Location: Full Remote
Start Date: Within 1 week
Overview
We are seeking a highly skilled Cloud Engineer with expertise in Generative AI, application development, and infrastructure automation. This role will focus on building a next-generation AI-powered code generation platform, orchestrating workflows, and ensuring scalable deployments across environments.
The ideal candidate will be hands-on with AWS services, Gen AI integrations, and modern DevOps practices, while also capable of contributing to frontend and backend application development.
Responsibilities
Gen AI Engineering
β’ Integrate AWS Bedrock APIs for real-time code generation.
β’ Design AI workflow orchestration using AWS Step Functions for code generation and promotion.
β’ Build and maintain a template instantiation engine with automated code generation capabilities.
β’ Implement real-time AI code generation processing, validation, and monitoring for quality and performance.
β’ Develop automated testing pipelines for AI-generated code.
Application Development
β’ Build React-based frontend interfaces for the code generation platform.
β’ Develop Node.js/Python backend APIs for code generation and promotion pipelines.
β’ Integrate databases for storing generated code, templates, and deployment configurations.
β’ Configure AWS App Runner for automated application deployments.
β’ Implement payment processing and third-party API integrations in generated applications.
β’ Build admin dashboards and embed code editor capabilities within the platform.
β’ Integrate version control systems for managing generated code.
Infrastructure & Terraform Automation
β’ Automate infrastructure provisioning for generated applications using Terraform.
β’ Configure multi-environment pipelines (dev β staging β production) for code promotion.
β’ Automate custom domains, SSL certificates, and database provisioning.
β’ Implement environment variable management for dynamic deployments.
β’ Configure monitoring, logging, and auto-scaling infrastructure.
β’ Ensure continuous deployment pipelines for seamless code promotion.
Qualifications
β’ Strong experience with AWS services (Bedrock, Step Functions, App Runner, databases, etc.).
β’ Hands-on expertise with React, Node.js, and Python.
β’ Proven track record of infrastructure automation using Terraform.
β’ Background in AI/ML integration, particularly with real-time code generation.
β’ Familiarity with CI/CD pipelines, monitoring, and logging frameworks.
β’ Experience in building secure and scalable cloud-native applications.
β’ Excellent communication and problem-solving skills in a fully remote setup.