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Cloud Engineer

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 operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time.


About the Role


This role is situated within our Applied AI consultancy, which serves clients across UK Defence, Government, Life Sciences, Energy, Banking and Retail. As a Cloud Engineer, you will work in the business area where the need is greatest and this may change from time-to-time, depending on our external client requirements. We are a rapidly growing business and require all our employees to be versatile across sectors and confident to be client-facing within those.



What you'll be doing:

A Cloud Engineer at Faculty help our customers by building robust, secure and scalable Cloud Infrastructure to support their data and machine learning workflows.

You’ll work as part of a cross-functional technical team to build solutions to some of the hardest problems in applied artificial intelligence. 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

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.

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Average salary estimate

$70000 / YEARLY (est.)
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$60000K
$80000K

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What You Should Know About Cloud Engineer, Faculty

At Faculty, we're on a mission to transform organizational performance through safe, impactful, and human-centric AI. We’re seeking a Cloud Engineer to join our vibrant team in London. In this exciting role, you’ll work within our Applied AI consultancy, tackling challenges across diverse industries such as Defence, Government, Life Sciences, Energy, Banking, and Retail. Your journey will involve building robust, secure, and scalable cloud infrastructures to support our customers' data and machine learning workflows. You’ll collaborate with both technical and non-technical stakeholders, ensuring smooth transitions from concept to implementation. As you immerse yourself in various projects, your responsibilities will evolve, but you can expect to create and maintain reusable libraries, recommend cloud solutions, and actively contribute to Faculty’s growth by leveraging cutting-edge technologies. With a hybrid working model, you’ll be client-facing up to three days a week while having the flexibility to work from our Old Street office or home. We value your attitude as much as your technical prowess. So, if you have a passion for solving complex problems, enjoy working across different sectors, and can thrive in a client-facing environment, the Cloud Engineer position at Faculty might just be your next adventure!

Frequently Asked Questions (FAQs) for Cloud Engineer Role at Faculty
What are the responsibilities of a Cloud Engineer at Faculty?

As a Cloud Engineer at Faculty, your main responsibilities will include building and maintaining secure and scalable cloud infrastructure, supporting data and machine learning workflows, collaborating with diverse teams, and actively recommending cloud solutions that meet client needs. You will also contribute to internal best practices and standards while mentoring Machine Learning Engineers and Data Scientists.

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What qualifications do I need to become a Cloud Engineer at Faculty?

To become a Cloud Engineer at Faculty, you should have demonstrable experience with at least one major cloud provider like AWS, Azure, or GCP. Familiarity with GitOps, Infrastructure as Code using Terraform, CI/CD practices, containerization with Docker and Kubernetes, as well as networking and cloud security fundamentals will also be essential for success in this role.

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How does the hybrid working model for the Cloud Engineer role at Faculty work?

The hybrid working model at Faculty allows Cloud Engineers to split their time between client sites, Faculty's Old Street office, and working from home. You can expect to be client-side for up to three days a week, enabling a dynamic work environment that adapts to project needs and client interaction.

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What can I expect in terms of career growth as a Cloud Engineer at Faculty?

As a Cloud Engineer at Faculty, you will have abundant opportunities for career growth. Due to our rapid expansion and diverse client projects, you will be encouraged to learn new technologies, engage in technical mentoring, and take on leadership roles in various initiatives that align with your interests and career aspirations.

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What skills are valued in a Cloud Engineer at Faculty?

At Faculty, we value a combination of technical expertise and soft skills in our Cloud Engineers. In addition to your cloud technical skills, we look for candidates who demonstrate critical thinking, a problem-solving mindset, adaptability to evolving technologies, and strong communication skills to engage effectively with clients and stakeholders.

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Common Interview Questions for Cloud Engineer
Can you explain the importance of Infrastructure as Code (IaC) in cloud engineering?

Infrastructure as Code is crucial as it enables automated and consistent infrastructure management, reduces manual errors, and helps in version control of infrastructure configurations. For a Cloud Engineer, being adept in IaC tools such as Terraform allows for the reproducibility of environments and enhances overall operational efficiency.

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How do you approach requirements gathering with clients?

When gathering requirements with clients, I emphasize active listening, asking clarifying questions, and fostering open communication. It’s important to ensure that I fully understand their needs and expectations, as this directly influences the design and implementation of cloud solutions.

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What strategies would you use for securing cloud resources?

To secure cloud resources, I would implement least privilege access controls, utilize security groups for network segmentation, and regularly audit access logs. Additionally, using tools for vulnerability scanning and ensuring compliance with security best practices would be integral to the strategy.

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Describe your experience with CI/CD pipelines.

I have extensive experience setting up CI/CD pipelines using tools like GitLab Pipelines and CircleCI. I focus on automating deployment processes, reducing integration issues, and enabling rapid feedback loops to ensure smooth application delivery and improved development productivity.

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What are your favorite open-source tools, and how have you used them?

My favorite open-source tools include Kubernetes for container orchestration and Terraform for Infrastructure as Code management. I have utilized these tools to streamline deployment processes and ensure scalability and efficiency in managing cloud resources across various projects.

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How do you stay updated with the latest cloud technologies?

I stay updated with the latest cloud technologies by participating in webinars, online courses, and tech meetups. I also engage with communities and forums, read tech journals, and practice hands-on skills with new tools that can enhance my work as a Cloud Engineer.

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Can you give an example of a challenging project you've solved in cloud engineering?

In a recent project, we faced performance issues with a data-intensive application. I conducted thorough analysis, implemented a more scalable architecture using microservices, and optimized our cloud resource allocation. This approach significantly improved performance and reduced costs.

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How would you explain a complex technical solution to a non-technical stakeholder?

When explaining complex technical solutions to non-technical stakeholders, I focus on using analogies and clear language, avoiding jargon. I aim to relate technical aspects to their business impact, ensuring they fully grasp how it benefits their objectives.

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What is the role of containerization in modern cloud architectures?

Containerization allows for the packaging of applications and their dependencies into isolated units, enhancing portability across environments and ensuring consistency. In modern cloud architectures, it enables rapid scaling and optimization of resource utilization.

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What do you consider when choosing a cloud service provider?

When choosing a cloud service provider, I consider factors such as compliance with regulations, cost-effectiveness, availability of support and services, security features, and the provider's ability to meet the specific needs of my clients.

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Full-time, hybrid
DATE POSTED
December 22, 2024

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