Principal Engineer

We are seeking an experienced engineer who has built things people actually use and still wants to write the code.

You will have taken products from nothing to real users, more than once and seen what happens to them afterwards. We will ask what you shipped, who used it and what you did yourself. We mean end users, not just other engineers.

Scale and performance matter here - clients notice when things are slow. You know how to find the bottleneck rather than guess at it. You are comfortable reading a flame chart and you will follow a problem down as far as it goes, whether that is a React component re-rendering because of a misused useEffect or cache locality in the hot path of an algorithm.

You will have seen approaches fail in different companies and codebases and you know why. People will want your view before they start something and you will have influenced what a team builds without being their manager.

You also need to be using agentic engineering already and treating it as a multiplier. One good engineer can now take on work that used to need a team. We want to hear your opinions and your approach.

In your first 6–12 months, you might:

Success in this role looks like a steady record of shipped work, with at least two of your architectural patterns or AI standards in use across engineering.

You would join our experienced engineering team - we are about 40 software/platform/data engineers and data scientists. We use Shape Up, and you would work within it: shaping bets, delivering committed work, and getting things over the line with the teams.

Our culture is based on trust, and we empower people to deliver in the way that suits them best. For this role, that means real say over how you solve problems and some latitude over what you pick up, alongside the expectation that your work is visible, shared with your colleagues and pointed at what the business needs. In practice, you might have a committed bet, something you are improving because it needs it, and something you are exploring for a future cycle. Judging which deserves your time, and being open about it, is a big part of the job.

This is an individual contributor role. No line management, and no moving away from the code.

Our stack

Most of our platform is TypeScript on Node. Python is used across data science and machine learning. We use Kafka for events, Postgres for most of our data, and Kubernetes on AWS to run it all.

We want someone comfortable across data science, Python, Node, React and Rust. You do not need to be an expert in each, but none of them should put you off. If you have not used a language before, we expect you to pick it up.

How to apply

Apply via the link below.

Questions about the role? Please contact Dilshan Rukunayake, Principal TA Partner, dilshan.rukunayake@moneyhub.com

Probably not a fit if

Right to work and screening

You must have the right to work in the UK. As an FCA-regulated firm, offers are subject to pre-employment screening, including reference, credit and criminal record checks.

• 5% employer pension contribution from your first day, with a 3% employee contribution

• 25 days’ holiday plus bank holidays, rising to 30 days after two years

• Option to take UK bank holidays at other times, on days of significance to you

• Holiday purchase scheme

• Private medical insurance, including cover for pre-existing conditions, plus dental and optical benefit

• Three months’ Moneyhubber Family Pay when you become a new parent

• Permanent health insurance and life cover well above the industry standard

• Employee assistance programme

• Life event leave

• Professional development support, with a dedicated allowance of time and money

• £750 towards professional memberships

• Remote working support, including access to co-working spaces and help setting up your home office

• High-spec laptop

• Cycle to work scheme

• EV car scheme