AI Cloud Engineer – AWS
Jesu MattaUnited StatesMIDPosted 1h ago
AWS LambdaAPI GatewayECS/FargateEC2S3DynamoDBIAMVPCCloudWatchCI/CD pipelinesJenkinsGitLab CI/CDAWS CodePipelineInfrastructure as CodeTerraformCloudFormationAWS CDKDockerCloud networkingCloud securityCloud monitoringCloud troubleshootingPythonPowerShellBash scriptingTensorFlowPyTorchGitHub CopilotChatGPTKubernetesAzureGCPGit
About the Role
We are seeking an AI Cloud Engineer with AWS expertise to join the Texas Department of Transportation (TxDOT) team. This is a 12-month contract position requiring 4-5 days per week onsite in Austin, TX.
Key Responsibilities
• Design and implement scalable, highly available, and secure cloud applications
• Manage AWS services including Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch
• Develop and maintain CI/CD pipelines using Jenkins, GitLab CI/CD, and AWS CodePipeline
• Implement Infrastructure as Code using Terraform, CloudFormation, and AWS CDK
• Configure and manage Docker and AWS ECS/Fargate
• Handle cloud networking, security, monitoring, and troubleshooting
• Develop automation scripts using Python, PowerShell, or Bash
• Explore and implement AI/ML frameworks like TensorFlow and PyTorch
Requirements
• 6+ years of hands-on AWS Cloud Engineering experience
• Strong experience with AWS Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch
• Proficiency in CI/CD pipelines using Jenkins, GitLab CI/CD, and AWS CodePipeline
• Experience with Infrastructure as Code using Terraform, CloudFormation, and AWS CDK
• Knowledge of Docker and AWS ECS/Fargate
• Understanding of cloud networking, security, monitoring, and troubleshooting
• Proficiency in Python, PowerShell, or Bash scripting
• Current residence in the Austin, TX area
• Availability to work onsite 4–5 days per week
• Authorization to work in the United States
• Current location and redacted government-issued ID required during submission