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Satalia

Python Cloud Engineer - Contract UK

Satalia is hiring a Python Cloud Engineer - Contract UK for a remote role open to applicants in United Kingdom. Level rates it ; you can apply on Level.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include Python, AWS and Google Cloud.
  • Level lists 11 other open roles at Satalia.
  • The role was posted in the last few days.

AI in this role

Build and run cloud-based Python web APIs and infrastructure while supporting and scaling AI workloads in a product team.

pythonawsgcpazuredockerkubernetesterraformgraphql
cloud-architecturedevopsapi-development

Cloud Engineer (Python)

Role type: Contract

Location: UK

Preferred start date: ASAP

LIFE AS A SATALIAN

As an organisation, we push the boundaries of data science, optimisation and artificial intelligence to solve the most complex problems in industry. Satalia, a WPP Company, is a community of individuals devoted to working on diverse and challenging projects, allowing you to flex your technical skills whilst working with a tight knit team of high performing colleagues.

Led by our founder (who is also WPP’s Chief AI Officer), Satalia’s ambition is to become a decentralised organisation of the future. Today this involves developing tools and processes to liberate and automate manual repetitive tasks, with a focus on freedom, transparency and trust. At the core of our thinking is an approach to wellbeing and inclusivity. We unpack human behaviour and unpick prejudice to ensure a safe and inviting environment. We offer true flexible working and allow our employees to find the working practice that makes them most productive. At Satalia, your opinion matters and your achievements are celebrated.

THE ROLE

We’re looking for a Python Cloud Engineer to build and run our cloud-based web APIs. Our solutions aren’t tied to one cloud, so we want someone with a solid grounding in cloud architecture on AWS, GCP or Azure (AWS preferred).
You’ll write enterprise-grade Python APIs, ship them as Docker images, and run them on Kubernetes alongside storage, pipelines and state stores. All infrastructure and deployment is automated with Terraform. You’ll join a product team building zero-to-one innovations on a multi-year roadmap, including optimising AI workloads that scale to meet client needs.

What you’ll be doing:

  • Build and maintain Python web APIs, containerised and cloud-agnostic

  • Provision and manage cloud resources with Terraform

  • Design scalable infrastructure using established design patterns and reference architectures

  • Own your deployments end to end, in a true DevOps model, and help the team manage infrastructure directly

  • Integrate with a range of systems, from modern SaaS APIs (GraphQL) to traditional FTP

  • Build observability and security into every design

  • Document architecture with diagrams-as-code

  • Work test-first, with quality built in

What we want from you:

· Strong experience building and deploying infrastructure on at least one major cloud (AWS, GCP or Azure), and the willingness to work across them

· Python and Docker for web APIs

· Kubernetes in production

· Terraform (CloudFormation or similar is a bonus)

· Git and DevOps practice, ideally including monorepos

· Integration experience with varied APIs

· OAuth2 and OIDC

· A test-first, quality-driven approach

· Clear written and spoken communication

Nice to have

· Serverless (functions, queues, API management, key-value stores)

· Open source contributions

How you work

· Curious: you want to know how things work underneath, you try new tools, and you ask “why” before “how”.

· Proactive: you spot problems and fix them without waiting to be asked. You raise ideas, challenge assumptions, and take ownership of outcomes, not just tasks.

· Collaborative: you explain your thinking and help the rest of the team level up.

What we can offer you:

Opportunity to work at the forefront of AI technology

A chance to contribute to groundbreaking commerce AI solutions

As an equal opportunity employer we welcome applications that reflect the diversity of our wider community. Please let us know at any time if you require reasonable adjustments to your interview process and feel free to let us know the pronouns you use.


Satalia is home to some of the brightest minds in AI and if you’re looking to join a company who not only values autonomy and freedom, but embraces a culture of inclusion and warmth, we’d love to hear from you.

We aim to respond to all applications within 2 weeks. If you have not heard from us within 2 weeks this means your application has been unsuccessful.

By applying to Satalia you are expressly giving your consent for the collection and use of your information as described within our Satalia Recruitment Privacy Policy.

Good luck!

How we rate this

Python Cloud Engineer - Contract UK at Satalia rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ArchitectureDevopsAPI DevelopmentPythonAWSGoogle CloudAzureDocker

Questions you could be asked

  1. Tell me about a project where cloud architecture was part of your work. What did you do?
  2. Tell me about a project where devops was part of your work. What did you do?
  3. Tell me about a project where api development was part of your work. What did you do?
  4. What's a project where you used Python hands-on?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cloud Architecture, Devops, API Development, Python, and AWS. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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