AI Cloud Engineer

Shree Narayani Networking Solutions • Austin, TX

1d • Onsite

About The Position

The AI Cloud Engineer will join the Texas Department of Transportation’s AI Technical Team to design, build, and deploy AI cloud applications and support AI cloud platforms using cloud-native services. The role involves troubleshooting application, infrastructure, networking, and performance issues in cloud environments; collaborating with cross-functional teams to deliver scalable and secure solutions; and integrating AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features. The engineer will participate in code reviews, promote best practices, mentor junior developers, and resolve complex technical issues across the stack.

This is an onsite role for candidates who currently reside in Austin, Texas, or the surrounding area. The engagement is listed as 12 months, with a rate of $60–$80 per hour on C2C, negotiable based on qualifications. Candidates requiring H-1B, CPT, or OPT are not eligible. Vendors submitting candidates must participate in E-Verify and maintain appropriate employment eligibility documentation.

Requirements

• At least 4 years of hands-on experience designing, building, and supporting cloud-native applications on AWS.
• At least 4 years of proficiency with AWS services including Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch.
• At least 4 years of experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.
• At least 4 years of expertise troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.
• At least 4 years of experience creating and maintaining CI/CD pipelines using AWS CodePipeline, GitLab CI/CD, Jenkins, or similar platforms.
• At least 4 years of proficiency with Infrastructure as Code technologies such as Terraform, CloudFormation, or AWS CDK.
• At least 4 years of understanding of cloud networking concepts, including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.
• At least 4 years of experience with containerization and orchestration technologies such as Docker and Fargate; ECS is preferred.
• At least 4 years of scripting and automation skills using Python, PowerShell, Bash, or similar languages.
• At least 4 years of knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.
• Must currently reside in Austin, Texas, or the surrounding area.
• Candidates requiring H-1B, CPT, or OPT are not eligible.

Nice To Haves

• Prior Texas government experience at the state or local level.
• Other U.S. government experience at the federal or state level.
• Familiarity with AI/ML frameworks such as TensorFlow or PyTorch, or AI-powered development tools such as GitHub Copilot or ChatGPT-based coding assistants.
• Knowledge of AWS, Azure, or GCP and containerization technologies such as Docker or Kubernetes.
• Understanding of CI/CD pipelines and version control using Git.

Responsibilities

• Design, build, and deploy AI cloud applications.
• Support AI cloud platforms using cloud-native services.
• Troubleshoot application, infrastructure, networking, and performance-related issues in cloud environments.
• 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 and ensure adherence to best practices.
• Mentor junior developers.
• Troubleshoot and resolve complex technical issues across the stack.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed