Senior Backend Engineer (Analytics) Jobs

Senior Backend Engineer (Analytics)

hyperexponential

Location:
United Kingdom, London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure.

Job Responsibility:

Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets, turning months of manual analysis into real-time insights that drive billion-dollar risk decisions
Design distributed analytics infrastructure on AWS using Terraform, creating robust, cloud-native systems that handle enterprise-scale data volumes while maintaining reliability and performance
Deliver customer-facing analytics features that transform how users understand and optimise risk modelling, building intuitive interfaces for complex portfolio analytics that were previously impossible
Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches that continuously improve the analytics experience and unlock new capabilities for customers
Collaborate across disciplines with Product, UX, and Engineering teams to translate complex business requirements into elegant technical solutions that balance powerful functionality with usability
Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation that makes complex data systems maintainable and scalable as the team grows.

Requirements:

Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills and the ability to work effectively across multiple languages and tech stacks
Delivered scalable cloud infrastructure using AWS and infrastructure-as-code tools like Terraform, with hands-on experience building distributed systems that handle real-world data volumes
Developed data warehousing solutions with hands-on experience building ETL pipelines, data modelling, and orchestration workflows using modern tools (e.g., dbt, Airflow, Spark), demonstrating the ability to transform raw data into reliable, performant analytics infrastructure that supports business decision-making at scale
Collaborated effectively across teams to deliver features that customers actually use, with evidence of translating business requirements into technical solutions that drive measurable impact
Maintained high code quality standards with a commitment to clean, well-documented, maintainable systems and the discipline to build infrastructure that scales with business growth
Demonstrated curiosity about emerging technologies, particularly around data processing, analytics platforms, and AI/ML tools that can enhance developer productivity and unlock new customer value.

What we offer:

£5,000 training and conference budget for individual and group development
25 days of holiday plus 8 bank holidays (33 days total)
Company pension scheme via Penfold
Mental health support and therapy via Spectrum.life
Individual wellbeing allowance via Juno
Private healthcare insurance through AXA
Income protection and Life Insurance
Cycle to Work Scheme
Top-spec equipment (laptop, screens, adjustable desks, etc.)
Regular remote and in-person hackathons, lunch and learns, socials, and game nights
Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Ministry
Exceptional opportunities for personal development and growth as we build something remarkable together.

Additional Information:

Job Posted:
December 09, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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