Cloud/AI Engineer

Job Summary Cloud & AI Infrastructure Engineer Location:

REMOTE The Cloud/AI Engineer will champion Purdue's Cloud and AI initiatives as a fully competent and productive professional contributor. This position will work as a member of the IT Infrastructure team to develop, implement, optimize, and maintain access to cloud-based AI technologies for IT Teams, researchers, and faculty. Responsibilities include 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, and creating and maintaining automation procedures. Will contribute to the development of operating procedures which support the AI and cloud infrastructure environment and effective use of resources. Identify the most optimal cloud and AI-based solutions for the given need and maintain cloud infrastructures in accordance with best practices and security policies. Should have excellent troubleshooting skills and stay current with industry trends. Will participate in on-call rotation with infrastructure teams. This is a remote position. About Us When you join Purdue University, you join a community that keeps moving forward. For more than 150 years, we've been known for not only our groundbreaking work in STEM research, but also for our collective imagination, ingenuity, and innovation.

What We're Looking For Education and Experience Required:

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

Skills Required:

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 work independently and as a part of a team Strong collaboration and communication skills Proficient in networking Troubleshooting and analytical skills

Preferred:

Experience with: SysOps containerization environments configuration automation tools including Ansible, Chef, and/or Puppet 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 using version control systems (like Git) to manage IaC configurations Azure, AWS, and GCP certifications preferred. Experience with tools such as Terraform, CloudFormation, Azure ARM/Bicep, and/or GCP Deployment Manager Hypervisor/Virtualization experience

Additional Information:

Purdue University will not sponsor employment authorization for this position A background check will be required for employment in this position

FLSA:

Exempt (Not Eligible for Overtime)

Retirement Eligibility:

Defined Contribution Waiting Period Benefit Statement:

Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days Career Stream Professional 2 Pay Band S080 Job Code #20004159 Career path maker: https://www.purdue.edu/hr/careerpathmaker/ Who We Are Purdue is a community built on collaboration, with global perspectives, Boilermaker pride and endless opportunity to live, learn and grow. Join us and contribute to our culture. Equal Opportunity Employer Purdue University is an EOE employer.