Purdue Information Technology is committed to advancing cloud and AI initiatives. The Cloud/AI Engineer will work within the IT Infrastructure team to develop and maintain cloud-based AI technologies, ensuring optimal performance, security, and availability of services.
Responsibilities:
- Deploying and debugging cloud stacks
- Developing and implementing policies for the use of AI via cloud infrastructure and software services
- Managing requests for new technology
- Establishing a secure cloud environment
- Ensuring appropriate availability of services
- Educating teams on new cloud and AI initiatives
- Ensuring the security of the cloud infrastructure
- Creating and maintaining automation procedures
- Contribute to the development of operating procedures which support the AI and cloud infrastructure environment
- Identify the most optimal cloud and AI-based solutions for the given need
- Maintain cloud infrastructures in accordance with best practices and security policies
- Participate in on-call rotation with infrastructure teams
Requirements:
- Bachelor's degree in computer science, information technology, or a similar field
- At least Three (3) years of experience in the field of cloud computing
- Azure, AWS, and GCP certifications preferred
- Experience with tools such as Terraform, CloudFormation
- Ability to interact with a variety of customers in a professional manner
- Ability to work independently and as a part of a team
- Strong collaboration and communication skills
- Proficient in networking
- Troubleshooting and analytical skills
- Experience with SysOps
- Experience with containerization environments
- Experience with configuration automation tools including Ansible, Chef, and/or Puppet
- Experience creating CI/CD pipelines for integrating IaC deployments into a deployment workflow supporting dev/test as well as production environments
- Experience developing solutions around well-known AI models such as ChatGPT, PaLM, and Llama
- Experience using version control systems (like Git) to manage IaC configurations
- Experience with tools such as Terraform, CloudFormation, Azure ARM/Bicep, and/or GCP Deployment Manager
- Hypervisor/Virtualization experience