Cloud Engineer - Talent Pool

Faculty is a leading AI company that transforms organizational performance through safe and human-centric AI solutions. With over a decade of experience, they serve 300+ global customers with software, AI consultancy, and their renowned Fellowship programme.

The Cloud Engineer position is part of their Frontier Delivery team, focusing on building core infrastructure for their cutting-edge AI product, Frontier. This role offers a unique opportunity to scale an AI-focused product while championing Cloud and Infrastructure engineering best practices.

As a Cloud Engineer, you'll be instrumental in building robust, secure, and scalable Cloud Infrastructure supporting data and machine learning workflows. You'll work in cross-functional technical teams, solving some of the most challenging problems in Applied AI. The role involves close collaboration with both technical and non-technical stakeholders, contributing to internal best practices, and enabling ML Engineers and Data Scientists to manage their cloud deployments effectively.

The ideal candidate should have experience with major cloud providers, Infrastructure as Code, CI/CD pipelines, containerization, and networking fundamentals. Knowledge of Python and API development is required, along with a strong understanding of cloud security principles. Faculty values individuals who think scientifically, are pragmatic, outcome-focused, and have a drive for continuous learning and improvement.

Faculty offers a unique professional environment where you'll work alongside brilliant minds from diverse backgrounds, all united by deep intellectual curiosity. The company's commitment to transforming organizational performance through AI, combined with their impressive client portfolio and focus on ethical AI implementation, makes this an exceptional opportunity for a Cloud Engineer looking to make a significant impact in the AI industry.