AI Cloud Engineer

Shree Narayani Networking Solutions Pvt Ltd; Austin (TX); On-site; USD 83,000 - 117,000; Full time

Job summary

Texas Department of Transportation is seeking an AI Cloud Engineer to join the AI Technical Team in Austin. The role focuses on designing, building, and deploying AI cloud applications and supporting cloud platforms using cloud-native services.

Responsibilities include collaborating with cross-functional teams, integrating AI tools into workflows, code reviews, mentorship, and troubleshooting across the stack. Onsite role with a 12-month duration; local candidates preferred.

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 Code Pipeline, 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.

Responsibilities

• 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

AWS Cloud Apps

AWS core services

Cloud scalability & security

Troubleshooting cloud issues

CI/CD pipelines

IaC (Terraform/CloudFormation/AWS CDK)

Cloud networking

Docker & Fargate

Scripting: Python/PowerShell/Bash

Cloud security & observability

Job description

Good afternoon all,

Our client the Texas Department of Transportation (TxDOT), is looking for an AI Cloud Engineer to join their AI Technical Team.

Candidates MUST currently reside in Austin, Texas or surrounding area.

Stand-Out Qualities include:

• Prior Texas Government experience (state or local)

• Other U.S Government experience (federal or state)
• Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants).

Vendors providing candidates must be enrolled and participating in E-Verify and must maintain appropriate employment eligibility documentation for the individuals they represent.

___________________________________________________________

Client: Texas Department of Transportation

Rate: $60.00-85.00/Hr., negotiable based on candidate qualifications. Client will give preference to discounted rates.

Location: Onsite (candidates must be local to the Austin area)

Duration: 12 months

___________________________________________________________

Responsibilities:

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.

• 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.

Qualifications:

• 4

  Strong hands-on experience designing, building, and supporting cloud-native applications on AWS

• 4

  Proficiency with core AWS services such as Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch

• 4

  Experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.

• 4

  Expertise in troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.

• 4

  Experience creating and maintaining CI/CD pipelines using tools such as AWS Code Pipeline, GitLab CI/CD, Jenkins, or similar platforms.

• 4

  Proficiency with Infrastructure as Code (IaC) technologies such as Terraform, CloudFormation, or AWS CDK.

• 4

  Strong understanding of cloud networking concepts including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.

• 4

  Experience with containerization and orchestration technologies such as Docker and Fargate (ECS preferred).

• 4

  Strong scripting and automation skills using Python, PowerShell, Bash, or similar languages to improve operational efficiency.

• 4

  Knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.

Preferred (Optional):

• 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 GCP) and containerization (Docker/Kubernetes).
• Understanding of CI/CD pipelines and version control (Git).