Cloud Engineer
Faculty(2 months ago)
About this role
A Cloud Engineer at Faculty is responsible for designing, building, and deploying robust, secure, and scalable cloud infrastructure that supports AI and machine learning workflows. This role involves collaborating with both technical and non-technical stakeholders, enabling data scientists and ML engineers, and maintaining infrastructure-as-code practices. The ideal candidate will have experience with a major cloud provider, containerized solutions, and strong networking and cloud security knowledge, all while actively seeking opportunities to enhance the company's infrastructure capabilities.
Required Skills
- Cloud Infrastructure
- AI Solutions
- Machine Learning Workflows
- Stakeholder Collaboration
- Best Practices
- Reusable Code
- Infrastructure-as-Code
- Open-Source Technologies
- Cloud Provider Experience
- Terraform
+9 more
Qualifications
- Experience with at least one major cloud provider (AWS, Azure, or GCP)
- Experience with Infrastructure as Code (especially Terraform)
- Experience in building and deploying containerized solutions using Docker and Kubernetes
- Strong CI/CD and GitOps practices knowledge
- Proficient knowledge of Networking and Cloud Security
About Faculty
faculty.aiFaculty is a leading artificial intelligence company focused on enhancing organizational performance through innovative AI solutions. They partner with businesses across various sectors, including healthcare, finance, and defense, to implement AI strategies that drive significant real-world impact. Their services span AI development, training, and ethical practices, ensuring that companies effectively harness the power of AI while addressing safety and governance concerns. Faculty is recognized for its expertise and contributions in pushing AI solutions forward, aiming to create transformative change in the industries they serve.