AI Cloud Engineer

Shree Narayani Networking Solutions • Austin, TX

1d • Onsite

About The Position

The Texas Department of Transportation (TxDOT) is seeking an AI Cloud Engineer to join its AI Technical Team. The engineer will design, build, and deploy AI cloud applications and support AI cloud platforms using cloud-native services. The role includes troubleshooting application, infrastructure, networking, and performance issues in cloud environments, and collaborating with cross-functional teams to deliver scalable and secure solutions. The engineer will integrate AI tools and techniques into application workflows for automation, predictive analytics, and intelligent features. The role also includes participating in code reviews, following best practices, mentoring junior developers, and resolving complex technical issues across the stack.

This is an onsite position for candidates who currently reside in Austin, Texas, or the surrounding area. The engagement duration is 12 months. The stated rate is $60–$85 per hour, negotiable based on qualifications; the client gives preference to discounted rates. Vendors submitting candidates must participate in E-Verify and maintain appropriate employment eligibility documentation for the individuals they represent.

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 core 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 experience 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.

Nice To Haves

• 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 cloud platforms such as AWS, Azure, or GCP and containerization such as Docker or Kubernetes.
• Understanding of CI/CD pipelines and version control using Git.
• Prior Texas government experience, at the state or local level.
• Other U.S. government experience, at the federal or state level.

Responsibilities

• Design, build, and deploy AI cloud applications using cloud-native services.
• Support AI cloud platforms.
• 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

• Career Level: Mid Level
• Education Level: No Education Listed