AWS Cloud Engineer

Quantum Technologies, Inc.; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies, Inc. in Dallas, Texas seeks an AI Cloud Engineer to design, build, and deploy AI cloud applications using AWS cloud-native services. You will troubleshoot, optimize, and support scalable cloud platforms while collaborating with cross-functional teams and mentoring junior developers.

The role emphasizes strong CI/CD practices, IaC using Terraform or CloudFormation, and containerization with Docker/Fargate, with a focus on security and reliability.

Qualifications

• Strong hands-on experience designing, building, and supporting cloud-native applications on AWS.
• Proficiency with core AWS services and cloud networking concepts.
• Experience creating and maintaining CI/CD pipelines and IaC.

Responsibilities

• Design, build, and deploy AI cloud applications and support AI cloud platforms using cloud-native services.
• Troubleshoot application, infrastructure, networking, and performance issues in cloud environments.
• Collaborate with cross-functional teams to deliver scalable and secure solutions.
• Mentor junior developers and participate in code reviews.

Skills

AWS

CI/CD

Terraform

CloudFormation

AWS CDK

Docker

Fargate

EC2

S3

DynamoDB

API Gateway

Lambda

IAM

VPC

Networking

Python

Git

Observability

Incident Response

Tools

AWS CodePipeline

GitLab CI/CD

Jenkins

Job description

Required Skills: API, Artificial Intelligence, Computer Networking, Authorization, Amazon DynamoDB, Amazon EC2, Collaboration, Dragon NaturallySpeaking, Continuous Delivery, Continuous Integration, Amazon S3, Docker, Immigration, Incident Management, GitLab, GitHub

Job Description

• We are seeking a talented and innovative AI Cloud Engineer to join our team.
• As part of the AI Technical Team, you will design, build, and deploy AI cloud applications and support AI cloud platforms using cloud native services.
• This includes troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.
• If you are passionate about artificial intelligence and innovation, we’d love to hear from you.
• Collaborate with cross-functional teams to deliver scalable and secure solutions.
• Integrate AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features.
• Participate in code reviews, ensure adherence to best practices, and mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

Skills and Qualifications

• Strong hands-on experience designing, building, and supporting cloud-native applications on AWS.
• Proficiency with core AWS services such as Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch.
• Experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.
• Expertise in troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.
• Experience creating and maintaining CI/CD pipelines using tools such as AWS CodePipeline, GitLab CI/CD, Jenkins, or similar platforms.
• Proficiency with Infrastructure as Code (IaC) technologies such as Terraform, CloudFormation, or AWS CDK.
• Strong understanding of cloud networking concepts including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.
• Experience with containerization and orchestration technologies such as Docker and Fargate (ECS preferred).
• Strong scripting and automation skills using Python, PowerShell, Bash, or similar languages to improve operational efficiency.
• Knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.

Preferred Skills and Qualifications:

• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants).
• Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform) and containerization (Docker/Kubernetes).
• Understanding of CI/CD pipelines and version control (Git).