Cloud Engineer

About Faculty

Faculty transforms organisational performance through safe, impactful and human-led AI. 

We are Europe’s leading applied AI company, and saw its potential a decade ago - long before the current hype cycle. 

We founded in 2014 with our Fellowship programme, training academics to become commercial data scientists. 

Today, we provide over 300 global customers with industry-leading software, and bespoke AI consultancy for retail, healthcare, energy, and governmental organisations, as well as our award winning Fellowship. 

Our expertise and safety credentials are such that OpenAI asked us to be their first technical partner, helping customers deploy cutting-edge generative AI safely. 

Our high-impact work has saved lives through forecasting NHS demand during covid, produced green energy by routing boats towards the wind, slashed marketing spend by predicting customer spending habits, and kept children safe online. 

AI is an epoch-defining technology. We want people to join us who can help our customers reap its enormous benefits safely.

About the role

We're actively seeking a Cloud Engineer to join our Frontier Delivery team and play an integral role in building the core infrastructure on which of our cutting-edge product, Frontier, sits.

As we continue to expand our platform's reach, you'll have the unique opportunity to be part of scaling this AI focussed product, whilst being a the go- to evangelist for Cloud and Infrastructure engineering best practice.

As a Cloud Engineer at Faculty, you'll help our customers by building robust, secure and scalable Cloud Infrastructure to support their data and machine learning workflows, working as part of a cross-functional technical team to build solutions for some of the hardest problems in Applied AI today.

Your role will evolve alongside business needs, but you can expect your key responsibilities to include:

  • You’ll work with both technical and non-technical stakeholders going from idea to implementation as well as contributing to internal Cloud Engineering best practices, standards and code repos; enabling Machine Learning Engineers and Data Scientists to take ownership of their cloud deployments.
  • You’ll proactively contribute to Faculty’s growth by working with our customers to recommend how they can leverage Cloud infrastructure to solve their problems.
  • Be involved with the project life cycle from idea generation to shipping
  • Actively look out for the best open source technologies to be used in the development of Faculty's infrastructure
  • Create and maintain reusable libraries that are used company-wide.

Who we're looking for

At Faculty, your attitude and behaviour are just as important as your technical skill. We look for individuals who can support our values, foster our culture, and deliver for our organisation.

To succeed in this role, you'll need demonstrable experience in some of the following:

  • At least one of the major cloud providers (AWS, Azure, GCP)
  • GitOps:

    • Infrastructure as Code (IaC) using Terraform
    • CI/CD, for example ArgoCD, Gitlab Pipelines, CircleCI
  • Containerisation and deployment with Docker and Kubernetes
  • Networking fundamentals, IP networking, TCP, HTTP
  • Cloud security fundamentals: least privilege access, security groups, isolated networks
  • Technologies our teams use that are nice to know, but not essential: Task orchestration, ELT, Serverless, Event Streaming
  • Python, NodeJS or other scripting languages

We like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:

  • Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things
  • Love finding new ways to solve old problems - when it comes to your work and your professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges
  • Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world
  • Have experience in working directly with clients and end users to conduct: Requirements Gathering, Technical Planning and Scoping
  • Have a drive to learn new technologies and novel applications of existing technologies
  • Technical mentoring

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