Backend Engineer - Kotlin (Analytics)

hyperexponential; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading insurance technology company in London seeks a Backend Engineer to join their Analytics team. This role involves designing and developing innovative data systems to enhance decision-making and risk modelling for clients. Ideal candidates should have strong experience in Kotlin and familiarity with distributed systems. Join a dynamic team that values technical ownership and collaboration, with opportunities for continuous learning in the rapidly evolving field of digital insurance.

Benefits

Ongoing support for technical learning

Culture of ownership and proactive problem-solving

Qualifications

• Proven experience as a polyglot engineer focusing on Kotlin.
• Strong grasp of distributed systems design and data architecture.
• Ability to communicate effectively across disciplines.

Responsibilities

• Design and develop backend and analytics components using Kotlin.
• Enable scalable ingestion and processing of insurance datasets.
• Document clearly and contribute to coding best practices.

Skills

Kotlin

Python

Rust

AWS

Distributed systems design

API development

Tools

Terraform

Job description

Overview

Engineering at hyperexponential

At hx we are transforming the traditional insurance industry with our groundbreaking SaaS platform, hx Renew. Insurers use it to build complex mathematical models that enable smarter, faster pricing decisions—whether it's calculating the cost to insure a global superstar's concert tour or protecting entire states from natural disasters. With hx Renew, insurers can rapidly develop and iterate pricing models in Python and React within a modern software environment, free from the burden of legacy tech. What once took months now takes weeks or even days. This agility has made our product the go-to platform for insurers worldwide.

In five years, our formula has earned the trust of industry giants like Aviva and Top 5 US insurers, as well as cutting-edge innovators like Convex and Inigo. Our engineering team—made up of some of the brightest (and kindest!) minds in the industry—pushes technological boundaries daily through creative innovation and regular hackathons.

Your Mission

As a Backend Engineer in the Analytics team at hx, you'll be at the forefront of building systems that unlock the full value of data for insurers on hx Renew. By developing features and platforms that make insurance data accessible, actionable, and optimizable, you'll empower users to enhance decision-making and risk modelling. If you thrive on solving real business challenges and want to see your work directly impact customers, this is the place to push boundaries and grow your expertise.

This is a rare opportunity to build foundational data systems at the leading edge of digital insurance. If you're excited by complex engineering challenges, passionate about enabling smarter data decisions, and keen to contribute to a high-growth, collaborative team, the Analytics Team at hx is where you'll grow, innovate, and make a real difference.

What Makes This Role Exciting

• You'll directly empower customers to uncover, analyse, and act on their most valuable data assets
• Your work will streamline analytics, remove bottlenecks, and deliver business-critical features at the heart of hx Renew
• You'll take on deep technical challenges—from designing distributed data solutions to building reliable, cloud-native infrastructure
• You'll drive experimentation—piloting new technologies and approaches to continuously improve the data experience for users

Key Responsibilities

• Work as part of a fast-moving, visionary product team on a greenfield project
• Design and develop backend and analytics components using Kotlin
• Enable scalable ingestion, processing, and exploration of insurance datasets
• Deliver features that help customers understand and optimise decisions in risk modelling, turning complex portfolio data into actionable insights
• Elevate the reliability, scalability, and observability of data flows and analytics infrastructure
• Collaborate with product, UX, and engineering peers to create data-driven user experiences—balancing powerful functionality with usability
• Lead and participate in architectural and design discussions around distributed data processing and cloud deployment
• Automate key workflows to support risk assessment, pricing, and portfolio analytics
• Document clearly and contribute to coding best practices for robust, maintainable systems
• Harness AI and machine learning tools to automate data analysis, accelerate feature development, and unlock impactful insights—enabling engineers to iterate faster and deliver greater value for users

Required Experience and Skills

• Proven experience as a polyglot engineer with a focus on Kotlin
• At hx our teams use a combination of Kotlin, Python and Rust
• Hands-on experience with AWS with Terraform
• Strong grasp of distributed systems design, data architecture, and API development
• Ability to communicate and collaborate effectively across disciplines
• Commitment to clean, well-documented, and maintainable code
• Interest in exploring emerging data and AI technologies

Bonus points for

• Experience working in insurance, finance, or other data-intensive domains
• Knowledge of interactive analytics or reporting platforms
• Exposure to event-driven architectures or large-scale streaming systems

What can hx offer?

• Ownership of user-driven features for hx's core platform in the commercial insurance technology space.
• Ongoing support for technical learning and professional growth—involving collaboration around the design system.
• Culture of ownership and proactive problem-solving, where your contributions have impact.

Interview Process

• Initial call with our Talent team to kick things off (30 mins)
• Manager Interview (60 mins)
• Technical Interview - Code Review & Systems Design Whiteboard (120 mins)
• Values Interview (60 mins)
• We offer!

Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.