Build the backbone of applied artificial intelligence for customers by designing, building, and deploying robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows.
Partner with technical and non-technical stakeholders, from initial idea generation through to implementation and shipping.
Enable Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards, and reusable code repos.
Proactively identify and recommend new ways customers can leverage cloud infrastructure to solve their key challenges.
Create and maintain reusable, company-wide libraries and infrastructure-as-code.
Research and integrate the best open-source technologies to enhance Faculty's infrastructure capabilities.
Requirements
Deep experience with at least one major cloud provider (AWS, Azure, or GCP) and Infrastructure as Code, especially Terraform.
Experienced in building and deploying containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps practices.
Proficient knowledge of Networking and Cloud Security.
Excellent at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning, and scoping.
Benefits
The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. **Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.**
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