Opening for AI Cloud Engineer in Austin TX - Onsite

Manor, TX, US • Posted 9 hours ago • Updated 9 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Cloud Engineer
  • AI cloud applications
  • artificial intelligence
  • cloud-native
  • AWS
  • Lambda
  • API Gateway
  • ECS/Fargate
  • EC2
  • S3
  • DynamoDB
  • IAM
  • VPC
  • CloudWatch
  • networking
  • infrastucture
  • AWS CodePipeline
  • GitLab CI/CD
  • Jenkins
  • Infrastructure as Code (IaC)
  • Terraform
  • CloudFormation
  • AWS CDK
  • VPCs
  • load balancers
  • DNS
  • routing
  • security
  • Docker
  • Fargate
  • ECS
  • Python
  • PowerShell
  • Bash

Summary

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.

Minimum Years of Experience

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)

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91116229
  • Position Id: 9063703
  • Posted 9 hours ago
Contact the job poster
Pari Balamuruga

Pari Balamuruga

Account Manager - Staffing @ TechAffinity Inc
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