Engineering

hub

Meet the

Meet the

Engineering

Engineering

team

team

We're reimagining what software development looks like.

Engineering at hx sits at the intersection of complex technical problems, AI-native workflows and domain challenges that few companies will tackle.

Explore our Teams

Product Development Squads

Engineers at hx work in cross-functional squads deployed to business-critical areas and new product initiatives. We work closely with product managers, designers, and customer-facing teams - not just other engineers. Squads are formed around specific technical challenges like execution infrastructure, batch processing, and AI-powered workflows, and evolve as priorities shift.

0

Product Development Squads

Engineering Velocity

Engineering Velocity at hx builds the systems and workflows that help engineering teams ship faster without breaking things. We create automated testing frameworks, improve CI/CD pipelines, and design tooling that removes friction from the development process. We work across Engineering, Product and Design to identify bottlenecks, build solutions, and continuously improve how we deliver software. The goal is making the entire engineering organisation more effective.

5

Engineering Velocity

Quality Engineering

Quality Engineering at hx ensures that when many independent teams bring changes together, the final product remains high quality and stable over time. We build and maintain shared testing tools - like end-to-end testing frameworks and performance testing solutions - that teams use at a product level. We define and run quality processes across the organisation, helping teams align on standards while building tools that are simple to pick up, flexible enough to cover many features, and reliable enough to use daily.

6

Quality Engineering

Platform

Platform at hx builds and evolves the self-service foundations that power one of the most technically ambitious product environments in fintech. We design, operate and continuously improve the infrastructure that enables teams to build, deploy and run services independently. We drive faster delivery, stronger reliability and disciplined cost efficiency at scale - making sure the platform grows with the product.

7

Platform

Security

Security at hx is a proactive, embedded function that shapes how the organisation builds and scales technology. We translate industry best practices into practical guardrails, governance and automated controls - protecting the business while enabling secure, compliant innovation, including in rapidly evolving areas like AI. We're part of the conversation early, not brought in after decisions are made.

8

Security

Delivery

Delivery at hx orchestrates large, strategic initiatives that span multiple teams and functions. We're responsible for getting complex, cross-company projects from concept to customer - coordinating Engineering, Product, Design, PMM, Support, MDT, Field Engineering and Senior Leadership. No day looks the same - from identifying blockers to incident coordination to building automations that improve how the entire Technology function operates. We own the end-to-end execution of what matters most.

9

Delivery

AI native by design, not by hype.

Rust, Kotlin, Python - we use what solves the problem best.

You're building your skill set for the next ten years.

Ownership over hours. Self-discipline over being told what to do.

We build the case, we ship the change - low red tape, high trust.

The best way to predict the future is to create it.

How engineering is structured

Engineering has multiple specialist areas

Engineering has multiple specialist areas

Reimagining the SDLC

We bake AI into every SDLC aspect - from spec-driven development to nightly pipeline risk estimation. Machines handle boilerplate. Humans focus on architecture and design.

Complex infrastructure

We tackle dynamic code execution, batched policy analysis and infrastructure scalability. These aren't CRUD apps - they're genuine engineering challenges in a complex domain.

Real technical autonomy

If we see a better database, library or approach, we build the case and make it happen. There's no red tape - just InfoSec review and budget considerations. Low friction, high trust, real autonomy.

Engineering

IN practice

When we say

Engineering

at hx is different,

this is what we mean

No jumplinks detected

1

Building execution infrastructure from scratch

We're developing core runtime systems that handle dynamic code execution for customer pricing models. This means building interpreters that sandbox customer code safely, managing in-memory data stores, and ensuring efficient resource handling for complex calculations using large datasets. Maintaining strict backwards compatibility while improving performance requires diligent testing and carefully managed rollouts.

Building execution infrastructure from scratch

We're developing core runtime systems that handle dynamic code execution for customer pricing models. This means building interpreters that sandbox customer code safely, managing in-memory data stores, and ensuring efficient resource handling for complex calculations using large datasets. Maintaining strict backwards compatibility while improving performance requires diligent testing and carefully managed rollouts.

Building execution infrastructure from scratch

We're developing core runtime systems that handle dynamic code execution for customer pricing models. This means building interpreters that sandbox customer code safely, managing in-memory data stores, and ensuring efficient resource handling for complex calculations using large datasets. Maintaining strict backwards compatibility while improving performance requires diligent testing and carefully managed rollouts.

2

Solving for scale in serverless architecture

We own end-to-end batch processing - integrating legacy async systems designed for single-item workflows into modern Lambda-based architecture. The challenge is solving for scale constraints like timeouts and cost efficiency while making it feel instant for users processing thousands of items at once. We're turning sequential systems into massively parallel ones without breaking existing workflows.

Solving for scale in serverless architecture

We own end-to-end batch processing - integrating legacy async systems designed for single-item workflows into modern Lambda-based architecture. The challenge is solving for scale constraints like timeouts and cost efficiency while making it feel instant for users processing thousands of items at once. We're turning sequential systems into massively parallel ones without breaking existing workflows.

Solving for scale in serverless architecture

We own end-to-end batch processing - integrating legacy async systems designed for single-item workflows into modern Lambda-based architecture. The challenge is solving for scale constraints like timeouts and cost efficiency while making it feel instant for users processing thousands of items at once. We're turning sequential systems into massively parallel ones without breaking existing workflows.

3

Making AI reliable in production

We build intake pipelines that turn chaotic inbound data - emails, PDFs, manual entries - into structured, actionable queues. We use LLMs to automatically extract and structure information from unstructured documents, then connect it seamlessly with complex business logic. The challenge is making AI reliable enough for production decisions while maintaining speed and accuracy at scale.

Making AI reliable in production

We build intake pipelines that turn chaotic inbound data - emails, PDFs, manual entries - into structured, actionable queues. We use LLMs to automatically extract and structure information from unstructured documents, then connect it seamlessly with complex business logic. The challenge is making AI reliable enough for production decisions while maintaining speed and accuracy at scale.

Making AI reliable in production

We build intake pipelines that turn chaotic inbound data - emails, PDFs, manual entries - into structured, actionable queues. We use LLMs to automatically extract and structure information from unstructured documents, then connect it seamlessly with complex business logic. The challenge is making AI reliable enough for production decisions while maintaining speed and accuracy at scale.

4

Reimagining how software gets built

We're baking AI into every aspect of the SDLC - from spec-driven development to automated risk estimation in deployment pipelines. We're not just using AI tools - we're codifying team expertise into agent-ready workflows, transferring tribal knowledge into systems that help AI work the way we want it to, not just accepting the first answer it generates.

Reimagining how software gets built

We're baking AI into every aspect of the SDLC - from spec-driven development to automated risk estimation in deployment pipelines. We're not just using AI tools - we're codifying team expertise into agent-ready workflows, transferring tribal knowledge into systems that help AI work the way we want it to, not just accepting the first answer it generates.

Reimagining how software gets built

We're baking AI into every aspect of the SDLC - from spec-driven development to automated risk estimation in deployment pipelines. We're not just using AI tools - we're codifying team expertise into agent-ready workflows, transferring tribal knowledge into systems that help AI work the way we want it to, not just accepting the first answer it generates.

Richard Ashworth

Director of Engineering

our team

Who you’ll build with

Those shaping what others won’t even try

No team members found for “Engineering”.

Could this be the place that changes your trajectory?
It might just be.

The patterns of our very best Engineering people

They think in systems and architecture

They think at a higher level - architecture, design, corner cases. The shift is from "I have code to write" to "I need to design what makes this maintainable, secure and observable."

They invest in their own growth

They use spare time to learn, build projects and stay current. We provide L&D budget and tools, but they match that investment. This is their craft - they own their development.

Future-proof skill building

We're building the skill set that will matter for the next ten years. Whether we become the company working in a way no one else is, or working like the best companies but better - either way, we're ahead.

What the environment gives back

Strong product partnership, not satellite PMs

We work in embedded EPD trios where PMs have deep domain understanding and technical vision. It's not someone dropping a spec and disappearing.

Strong product partnership, not satellite PMs

You work in embedded EPD trios where PMs have deep domain understanding and technical vision. It's not someone dropping a spec and disappearing .

Access to genuinely hard problems

You work on dynamic code execution engines, batched policy analysis across years of data, and infrastructure challenges that aren't just CRUD apps. The domain complexity means you're solving problems most engineers never see.

The Anatomy of an hxer

  • Ideas aren't identity

  • Takes ownership without waiting for permission

  • Comfortable with ambiguity

  • Ownership beyond role

  • Low ego, high standards

  • Bias for depth

  • Intellectually curious

  • Commercially aware

  • Self-disciplined

  • Ideas aren't identity

  • Takes ownership without waiting for permission

  • Comfortable with ambiguity

  • Ownership beyond role

  • Low ego, high standards

  • Bias for depth

  • Intellectually curious

  • Commercially aware

  • Self-disciplined

  • Ideas aren't identity

  • Takes ownership without waiting for permission

  • Comfortable with ambiguity

  • Ownership beyond role

  • Low ego, high standards

  • Bias for depth

  • Intellectually curious

  • Commercially aware

  • Self-disciplined

No perfect fit today? Let’s stay in touch.

Our talent pool is how we stay in touch with people we’d genuinely like to work with. You’ll hear about what we’re building, how our teams are evolving, and where new opportunities are emerging.

If hx might be a place you want to work in the future, you can join below.

Join our Talent Pool →

Featured resources

2025 State of Pricing Report

Report

Article featured image

Why all actuaries should be pro coders

Pricing

Article featured image

Why all actuaries should be pro coders

Article

Article featured image

Why all actuaries should be pro coders

Pricing

AI Maturity in Global S&C Insurance

Report

FAQs

FAQs

Accelerate your journey
from submission to decision

© 2025 hyperexponential

QMS Certificate No. 306072018

© 2025 hyperexponential

QMS Certificate No. 306072018