Opening for AI Cloud Engineer

TechAffinity Inc

Austin, TX, United States

11 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Microsoft Azure Bash Shell Cloud Computing Cloud Computing Security Code Review Programming Tools Domain Name System (DNS) Amazon DynamoDB

+31 more

Identity and Access Management Python (Programming Language) Routing Performance Tuning Windows PowerShell Cloud Services Tensorflow AWS Cdk Data Logging Google Cloud Load Balancing Cloud Platform System Spring Cloud GitHub Copilot Pytorch Delivery Pipeline Software Troubleshooting Amazon Virtual Private Cloud (VPC) Git Cloudformation Containerization Gitlab-ci Kubernetes AWS Fargate Cloudwatch Api Gateway Terraform GPT Software Version Control Docker Jenkins

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.

Requirements

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)