AWS Cloud Engineer

Job Title: AWS Cloud Engineer

Location:   Dallas  Texas 

Duration: 6 Months + Extension

Bill Rate: $89/hour on C2c

Job Type: C2C/1099

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

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).

Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.