Senior Backend Engineer, Kalepa

Client Integrations

$85-155k

+ Significant equity options package

Python

Postgres

Senior and Expert level

Remote from Europe, UK

More information about location

AI-driven commercial insurance provider

Open for applications

AI-driven commercial insurance provider

21-100 employees

FintechB2BArtificial IntelligenceInsurance

Open for applications

$85-155k

+ Significant equity options package

Python

Postgres

Senior and Expert level

Remote from Europe, UK

More information about location

21-100 employees

FintechB2BArtificial IntelligenceInsurance

Company mission

To help commercial and specialty insurers bind with confidence.

Job

Company

Role

Who you are

We are looking for smart engineers who love to code, seek challenging problems, and appreciate recognition for excellent work
Have 5+ years of software engineering experience, ideally with time spent building external-facing APIs or designing integrations with 3rd party systems
Embody hustle and grit, you're excellent at your craft and relentless in pursuing it
Take full ownership of your work and drive projects to completion with minimal oversight
Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop
Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before
Have strong fundamentals in system design, debugging, and problem-solving
Know Python (our main stack), though we're open to strong candidates from other OO backgrounds
Have experience with serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments
Are comfortable with relational databases, ideally PostgreSQL
Bonus: experience with LLMs/generative AI, distributed systems

What the job involves

As part of the Client Integrations team, you will work on the external-facing APIs that power our customers’ core workflows
Your day-to-day will involve designing and building API endpoints, improving database and query performance, and integrating with a wide range of third-party services
You’ll translate product requirements into reliable business logic, help diagnose and resolve customer issues, and contribute to making our platform faster, more stable, and easier to use
You'll collaborate with a global team of full-stack, data, ML, and DevOps engineers to build scalable backend solutions as we continue to grow
We're a small team where individual contributions have an outsized impact on both our technology and our business

Our take

Insurance products that are underwritten at the Efficient Frontier are essential for businesses to mitigate financial risk, but one-size-fits-all approaches to insurance results in many coverage plans being unfairly priced. The reason for this is that whilst businesses each present their own unique set of hazards, identifying them for each company is an incredibly lengthy process for human underwriters.

Kalepa leverages human-interrupted artificial intelligence to identify the true hazards of a business through a data-driven approach and provide insurance that is priced accordingly. The company claims that it reduces the time that insurance providers take to provide quotes by over 40% and helps businesses save over $15M in losses, whilst also improving coverage uptake for insurance providers.

Whilst the commercial insurance sector is certainly oversaturated, Kalepa stands out by providing its AI-driven underwriting platform to insurance providers, helping them compete through faster quotes and lower prices. In addition to its underwriting platform, the company also provides its solutions in the form of embeddable APIs, and recently formed a new MGA that will underwrite excess casualty risks using Everspan paper.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Strong hiring activity

11% employee growth in 12 months

Glassdoor (4.9)

Company

Company HQ

Flatiron District, New York, NY

Leadership

Paul Monasterio

(Co-Founder & CEO)

Prior to co-founding Kalepa in 2018, Paul worked in Strategy and Measurement at Facebook and served as the VP at Applied Predictive Technologies.

Daniel Hillman

(Co-Founder & COO)

Previously a VP of Sales at Mastercard and Applied PRedictive Technologies.

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