Cloud Engineer - Talent Pool

Faculty; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

Join a forward-thinking company that transforms organizational performance through AI. As a Cloud Engineer, you'll play a vital role in building the core infrastructure for cutting-edge AI products. Collaborate with brilliant minds to tackle complex challenges and help customers leverage Cloud solutions effectively. This is an incredible opportunity for those who are passionate about technology and eager to make a difference in the world of AI.

Qualifications

• Experience with major cloud providers is essential.
• Familiarity with GitOps and Infrastructure as Code is a plus.

Responsibilities

• Build robust, secure, and scalable Cloud Infrastructure.
• Contribute to Cloud Engineering best practices and standards.

Skills

Cloud Providers (AWS, Azure, GCP)

Infrastructure as Code (IaC) using Terraform

CI/CD (ArgoCD, Gitlab Pipelines, CircleCI)

Containerisation (Docker, Kubernetes)

Networking Fundamentals (IP, TCP, HTTP)

Cloud Security Fundamentals

Python and API Development

Job description

About Faculty

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

With a decade of experience, we provide over 300 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.

We're always on the lookout for talented individuals whose principles and interests align with our own. While we don't have a specific vacancy open at the moment, by registering your interest for the Cloud Engineer Talent Pool, you'll be among the first to hear about job openings in our Frontier Team that align with your experience when they go live.

About the role

This Cloud Engineer position will sit within our Frontier Delivery team and play an integral role in building the core infrastructure on which 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 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 skills and experience. Our principles guide our day-to-day actions and we look for individuals who can demonstrate their alignment with these.

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
• Some experience in Python and API development

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

What we can offer you:

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.