Overview

About Hyperexponential (hx). We’re building an AI-powered platform for insurers to make fast, data-driven pricing and underwriting decisions. Our analytics team builds data systems that unlock the value of complex insurance datasets and empower underwriters and actuaries to make smarter, faster decisions on multi-billion-dollar risks.

As a Backend Engineer in the Analytics team, you’ll design and build foundational data systems, scalable ingestion pipelines, and distributed analytics infrastructure that turn complex insurance data into competitive advantage for customers.

What You'll Be Doing

• Build scalable data systems in Kotlin to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights for risk decisions.
• Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud-native systems that handle enterprise-scale data with reliability and performance.
• Deliver customer-facing analytics features that help users understand and optimize risk modelling.
• Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches to enhance the analytics experience.
• Collaborate with Product, UX, and Engineering to translate business requirements into elegant technical solutions.
• Elevate system quality through robust architecture, testing, and documentation to keep data systems maintainable and scalable as the team grows.

What You'll Need To Have Done

• Production backend experience as a polyglot engineer, with strong Kotlin skills and ability to work across multiple languages and tech stacks.
• Experience delivering scalable cloud infrastructure on AWS with infrastructure-as-code (e.g., Terraform) and distributed systems handling real-world data volumes.
• Strong data architecture skills, distributed systems, API development, and reliable, maintainable data processing patterns.
• Ability to collaborate across teams to deliver customer-facing features that drive measurable impact.
• Commitment to high code quality, clean documentation, and scalable infrastructure.
• Curiosity about emerging technologies in data processing, analytics platforms, and AI/ML tools that enhance developer productivity and customer value.

You're Unlikely To Thrive Here If

• You prefer established data systems over building foundational analytics infrastructure in a rapidly evolving environment.
• You focus on purely technical challenges without understanding business context and customer impact.
• You’re not excited by distributed data processing and enterprise-scale analytics.
• Reading our Culture Document leaves you neutral; we want committed, growth-minded individuals who energise the team.

Compensation

We’re committed to salary transparency. Details are shared during initial conversations, and we’re working towards publishing salary information globally. Compensation is designed to be competitive in the market and aligned with impact.

Equity: Equity is offered across all roles; your talent partner will share details.

Benefits

• £5,000 training and conference budget for development.
• 25 days of holiday plus 8 bank holidays (33 total).
• Company pension via Penfold.
• Mental health support via Spectrum.life.
• Wellbeing allowance via Juno.
• Private healthcare through AXA.
• Income protection and life insurance.
• Cycle to Work Scheme.

Additional Perks

• Top-spec equipment and ergonomic setups.
• Regular hackathons, lunch and learns, and team events.
• Meals, snacks, and a collaborative office culture.
• Strong opportunities for personal development as we build something remarkable.

Interview Process

• Initial call with Talent team (30 minutes).
• Manager Interview (60 minutes).
• Technical Interview – Code Review & AI Pairing (120 minutes).
• Values Interview (60 minutes).
• Offer stage.

Our Commitment to Diversity

hx values diverse perspectives and is committed to an inclusive environment where everyone can thrive, grow, and contribute. Diversity is essential to solving complex challenges and building lasting solutions.

Next Steps

If this opportunity resonates, apply or share it with your connections. Our talent team reviews all applications and provides feedback regardless of the outcome. For more information and to view other opportunities, visit our careers page. Background checks will be conducted as part of the hiring process in compliance with governance policies. All applicant data will be processed in accordance with data protection regulations and our privacy policy.