Cloud Engineer

Frontier Ai
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Computing Security
Cloud Engineering
Continuous Integration
Machine Learning
Open Source Technology
Kubernetes
Terraform
Docker

Job description

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.

What you'll be doing:

  • 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.

Requirements

  • 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 containerized solutions using Docker and Kubernetes, supported by strong CI/CD and GitOps 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.

About the company

At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you'll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world., 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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