Jobs → Engineering → AI Cloud Engineer

About the Role We are looking for an AI Cloud Engineer to join our team in Austin, TX. This role focuses on designing, building, and deploying AI cloud applications using cloud-native services. Key Responsibilities • Design, build, and deploy AI cloud applications using cloud-native services • Integrate AI tools into application workflows for automation and predictive analytics • Troubleshoot application, infrastructure, networking, and performance issues • Collaborate with cross-functional teams to deliver scalable and secure solutions • Participate in code reviews, follow best practices, and mentor junior developers Requirements • 4+ years designing, developing, and supporting cloud-native applications on AWS • 4+ years with AWS services: Lambda, API Gateway, ECS/Fargate, EC2, S3, DynamoDB, IAM, VPC, and CloudWatch • 4+ years building scalable, highly available, and secure cloud solutions • 4+ years troubleshooting cloud application, infrastructure, networking, and performance issues • 4+ years developing and maintaining CI/CD pipelines using AWS CodePipeline, GitLab CI/CD, Jenkins, or similar tools • 4+ years with Infrastructure as Code (IaC) – Terraform, CloudFormation, or AWS CDK • 4+ years in AWS cloud networking – VPC, load balancers, DNS, routing, security groups, and connectivity troubleshooting • 4+ years with containerization and orchestration – Docker and ECS/Fargate • 4+ years scripting and automation using Python, PowerShell, Bash, or similar languages • 4+ years in cloud security, IAM, monitoring, logging, observability, incident response, and performance optimization Submission Requirement: Include the candidate's current location and a redacted copy of a valid driver's license or government-issued ID with submission.