AWS Cloud Engineer
- Quantum Technologies. LLC
13 Days Ago
85-59 per Hourly
C2C, 1099
Dallas-TX
8-20 Years
Required Skills: API, Artificial Intelligence, Computer Networking, Authorization, Amazon DynamoDB, Amazon EC2, Collaboration, Dragon NaturallySpeaking, Continuous Delivery, Continuous Integration, Amazon S3, Docker, Immigration, Incident Management, GitLab, GitHub
Job Description
- 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.
Skills and 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 CodePipeline, 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.
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).
