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# Lead Cloud Engineer

- **Company:** hedgehog lab
- **Location:** Leeds, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, DevOps, Python (Programming Language), Node.Js, TypeScript, Agentic-AI, Production Code
- **Published:** October 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=85e744ae450537df

## About the Role

* Experience designing and running production cloud infrastructure yourself, ideally on AWS. Our stack is TypeScript, Python and Node.
 * A background in software or cloud engineering. You might be a lead cloud engineer, tech lead, DevOps lead or solutions architect today.
 * Experience building with AI agents, such as an agentic workflow you've shipped.
 * A solid grasp of architecture, from working closely with architects even if you haven't been one.
 * Confidence explaining technical decisions to non-technical people.

Nice to have:

 * Pre-sales or estimation experience
 * Consultancy or agency background

## Description

You'll work with clients from the first conversation, alongside delivery and product.

You'll be matched to projects on your skills, so you won't be put on something just because you're free.

You'll keep learning, because how we build with AI has changed a lot in two years and is still changing.

Who you'll be doing it for

hedgehog lab is a digital product consultancy with 20 years behind us. We build apps and websites for public and private sector clients in health tech, retail and financial services.

Our project teams are 5 to 15 people, made up of agentic engineers, software engineers, QA and designers.

We're a certified B Corp and Great Place to Work certified, with around 100 people across the UK and Europe.

What you'll be doing

Most of your time:

 * Leading the technical decisions and requirements on your projects
 * Designing the cloud infrastructure and how the components fit together
 * Building proofs of concept to test designs early
 * Writing production code and agentic workflows with AI agents
 * Running the cloud infrastructure and DevOps on your projects

Some of your time:

 * Working with clients to break down the scope and structure of what needs building
 * Supporting engineers with less cloud experience
 * Helping with pre-sales and estimating new work