At a Glance
- Tasks: Build scalable data systems in Kotlin for real-time insights in insurance.
- Company: Join hyperexponential, an innovative AI-powered platform transforming the insurance industry.
- Benefits: Enjoy a £5,000 training budget, 33 days holiday, and private healthcare.
- Other info: Collaborative culture with opportunities for personal growth and exciting team events.
- Why this job: Make a real impact by solving complex engineering challenges in a dynamic environment.
- Qualifications: Experience in backend systems, Kotlin, AWS, and data warehousing solutions.
The predicted salary is between 70000 - 90000 £ per year.
About hyperexponential (hx)
At hyperexponential, we are building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry. 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.
About the Analytics team
Engineering at hx drives every breakthrough that transforms how insurers make billion-dollar decisions. Our Analytics team sits at the cutting edge of this mission, building the data systems that unlock the full value of complex insurance datasets. As a Senior Backend Engineer in the Analytics team, you will architect and build the foundational data systems that power next-generation insurance analytics.
What You’ll Be Doing
- Build scalable data systems in Kotlin that enable insurers to ingest, process, and explore complex datasets.
- Design distributed analytics infrastructure on AWS using Terraform.
- Deliver customer-facing analytics features that transform how users understand and optimise risk modelling.
- Drive technical innovation in data architecture, piloting emerging technologies and AI/ML approaches.
- Collaborate across disciplines with Product, UX, and Engineering teams.
- Elevate system quality through robust architecture decisions, comprehensive testing, and clear documentation.
What You’ll Need to Have Done
- Built production backend systems with proven experience as a polyglot engineer, ideally with strong Kotlin skills.
- Delivered scalable cloud infrastructure using AWS and infrastructure-as-code tools like Terraform.
- Developed data warehousing solutions with hands-on experience building ETL pipelines.
- Collaborated effectively across teams to deliver features that customers actually use.
- Maintained high code quality standards with a commitment to clean, well-documented systems.
- Demonstrated curiosity about emerging technologies, particularly around data processing and AI/ML tools.
You’re Unlikely To Thrive Here If
- You prefer working with well-established data systems rather than building foundational analytics infrastructure from scratch.
- You’re more comfortable focusing on purely technical challenges than understanding the business context.
- You’re not excited by the complexity that comes with distributed data processing.
Compensation
At hx, we are committed to salary transparency. We offer equity across all roles at hx, making it a significant component of total compensation.
Benefits
- £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.
- Private healthcare insurance through AXA.
- Income protection and Life Insurance.
- Cycle to Work Scheme.
Additional Perks
- Top-spec equipment (laptop, screens, adjustable desks, etc.).
- Regular remote and in-person hackathons, lunch and learns, socials, and game nights.
- Exceptional opportunities for personal development and growth.
Interview Process
- Initial call with our Talent team (30 minutes).
- Manager Interview (60 minutes).
- Technical Interview - Code Review & AI Pairing (120 minutes).
- Values Interview (60 minutes).
Our Commitment to Diversity
We are committed to creating an environment where everyone can thrive, grow, and make an impact. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions and design solutions that endure.
Next Steps: If this opportunity resonates with you, we encourage you to apply or share it with your connections!
Senior Software Engineer (Kotlin) in London employer: hyperexponential
At hyperexponential, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Revenue Enablement Architect, you'll have the unique opportunity to shape our sales strategy in a fast-paced AI-driven environment, while benefiting from comprehensive onboarding, continuous professional development, and a collaborative team atmosphere. Join us in London, where your contributions will directly impact our growth and success in the insurance sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer (Kotlin) in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at hyperexponential or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Senior Software Engineer (Kotlin) in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at hyperexponential.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at hyperexponential and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at hyperexponential
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If hyperexponential uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
