Cloud Engineer

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At Faculty, we transform organisational performance through safe, impactful and human-centric AI.

Faculty’s Life Science team is focused on building AI solutions which optimise the research and commercialisation of life‑changing therapies. We partner with major pharma firms, academic research centres, and Med Tech start‑ups to design and deliver solutions that address critical healthcare challenges, democratising health for all.

We're looking for a Cloud Engineer to build the backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure and scalable cloud infrastructure that powers cutting‑edge data and machine learning workflows. Working in a cross‑functional team, you'll solve complex challenges and empower our data scientists and ML engineers to deploy their work effectively, shaping the future of AI solutions.

• Building robust, secure and scalable cloud infrastructure for AI and ML workflows.
• Partnering with technical and non‑technical stakeholders, from initial idea generation through to implementation and shipping.
• Enabling Machine Learning Engineers and Data Scientists by contributing to internal best practices, standards and reusable code repos.
• Proactively identifying and recommending new ways customers can leverage cloud infrastructure to solve their key challenges.
• Creating and maintaining reusable, company‑wide libraries and infrastructure‑as‑code.
• Researching and integrating the best open‑source technologies to enhance Faculty’s infrastructure capabilities.

• You are pragmatic and outcome‑focused, balancing the big picture with the details to execute complex projects in the real world.
• You think scientifically, always testing assumptions, seeking evidence, and looking for opportunities to improve how things are done.
• You have a drive to learn, constantly exploring new technologies and novel applications for existing tools.
• You possess deep experience with at least one major cloud provider (AWS, Azure or GCP) and Infrastructure as Code, especially Terraform.
• You are experienced in building and deploying containerised solutions using Docker and Kubernetes, supported by strong CI/CD and Git Ops practices.
• You possess proficient knowledge of networking and cloud security.
• You excel at working directly with clients and stakeholders, confidently handling requirements gathering, technical planning and scoping.

The Faculty team is diverse and distinctive, and we all come from different backgrounds. We are driven by intellectual curiosity and empower our employees to work with an impressive group of brilliant minds. 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.

• Mid‑Senior level

• Full‑time

• Engineering and Information Technology

• Technology, Information and Internet