Opening for AI Cloud Engineer in Austin TX - Onsite

TAFF Inc; Manor (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

TAFF Inc is seeking a talented AI Cloud Engineer to join our AI Technical Team. You will design, build, and deploy AI cloud applications and support cloud platforms using cloud-native services.

Collaborate with cross-functional teams to deliver scalable, secure solutions; integrate AI tools into workflows; participate in code reviews; troubleshoot complex issues across the stack and mentor junior developers.

Qualifications

• 4 years hands-on experience designing, building, and supporting cloud-native applications on AWS.

Responsibilities

• Collaborate with cross-functional teams to deliver scalable and secure solutions.
• Integrate AI tools into application workflows for automation and analytics.
• Participate in code reviews, ensure best practices, and mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

Skills

AWS cloud-native design

Terraform / IaC

CI/CD pipelines

Docker / containerization

Python scripting

Cloud security best practices

Linux / networking basics

Monitoring & observability

Tools

AWS CodePipeline

GitLab CI/CD

Jenkins

CloudWatch

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

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