Sign upLog in
See more jobs

AI Cloud Engineer

Expert In Recruitment Solutions

  • Austin, TX
  • 7 days ago

    Highlights

    Minimum (Required): Years Skills/Experience 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. Preferred (Optional): Years Skills/Experience Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) or AI-powered development tools (e.g., GitHub Copilot, ChatGPT-based coding assistants).

    Numbers & Facts

    LocationAustin, TX

    Description

    Title: AI Cloud Engineer
    Location: Onsite - candidates must be local to the Austin area


    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).

    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:
    Minimum (Required):
    YearsSkills/Experience
    4Strong hands-on experience designing, building, and supporting cloud-native applications on AWS
    4Proficiency with core AWS services such as Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch
    4Experience developing, deploying, and maintaining scalable, highly available, and secure cloud solutions.
    4Expertise in troubleshooting application, infrastructure, networking, and performance-related issues in cloud environments.
    4Experience creating and maintaining CI/CD pipelines using tools such as AWS Code Pipeline, GitLab CI/CD, Jenkins, or similar platforms.
    4Proficiency with Infrastructure as Code (IaC) technologies such as Terraform, CloudFormation, or AWS CDK.
    4Strong understanding of cloud networking concepts including VPCs, load balancers, DNS, routing, security groups, and connectivity troubleshooting.
    4Experience with containerization and orchestration technologies such as Docker and Fargate (ECS preferred).
    4Strong scripting and automation skills using Python, PowerShell, Bash, or similar languages to improve operational efficiency.
    4Knowledge of cloud security, monitoring, logging, and operational best practices, including IAM, observability, incident response, and performance optimization.

    Preferred (Optional):
    YearsSkills/Experience
    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).

    Similar Jobs