Lead Cloud Engineer

You’ll decide how a client’s product should be built, then build it with the team.

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.

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.

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 Dev Ops 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

Benefits include:

• 28 days holiday plus bank holidays

• 5 Impact Days for learning, innovation or volunteering

• 2 wellbeing days and a wellbeing budget

• Learning budget plus time for training and conferences

• Enhanced sick pay and parental leave

There are no set office days, but we value time together and with clients. You’ll need to live within 50 miles of our Leeds or Manchester office.

• Experience designing and running production cloud infrastructure yourself, ideally on AWS. Our stack is Type Script, Python and Node.

• A background in software or cloud engineering. You might be a lead cloud engineer, tech lead, Dev Ops 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.

• Pre-sales or estimation experience

• Consultancy or agency background