Senior Backend Engineer, Kalepa

$175-205k

+ Equity range: 0.05% - 0.20%

AWS

Docker

Java

C++

NumPy

Pandas

Flask

Git

Senior and Expert level

New York

Remote from US

AI-driven commercial insurance provider

Open for applications

AI-driven commercial insurance provider

21-100 employees

FintechB2BArtificial IntelligenceInsurance

Open for applications

$175-205k

+ Equity range: 0.05% - 0.20%

AWS

Docker

Java

C++

NumPy

Pandas

Flask

Git

Senior and Expert level

New York

Remote from US

21-100 employees

FintechB2BArtificial IntelligenceInsurance

Company mission

Kalepa's mission is to leverage its human-AI commercial insurance platform to help identify the true risks of businesses and find the insurance coverage that they need.

Job

Company

Role

Who you are

Have a minimum of 5+ years of relevant software engineering experience
Have excellent development skills including design, debugging and problem solving
You possess a bachelors or master's degree in computer science or a related field
We primarily use Python3 however are open to seeing your code in other OO languages (Java, C++, C#, etc)
Experience with AWS as we work with serverless technologies and asynchronous workflow. (EC2, Lambda, etc.)
Have worked with relational databases with a preference for PostgreSQL
Love working on distributed systems creating scalable, fault-tolerant infrastructure
Can build data driven microservices leveraging RESTful API's
Have worked with some of the following tools: Docker, Git, GitHub, Flask, NumPy,Pandas

What the job involves

As a core engineer you will step into a greenfield opportunity where your efforts will have a massive impact. You will be working on cutting edge tech including NLP, firmographic data, entity resolution and much more
In this role you will work to solve interesting problems at the intersection of large and performant data pipelines, distributed systems, machine learning models, and robust infrastructure. You will be collaborating with a global team of full-stack, data, ML, and DevOps engineers who are considered polyglots flexing their ability to adapt as we scale

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

11% employee growth in 12 months

Glassdoor (4.9)

Company

Company benefits

Very aggressive bonus structure, designed to reward exceptional performance
Significant equity options package
Work with an ambitious, smart, global, and fun team to transform a $1T global industry
Excellent benefits: 100% covered medical, 100% covered vision and dental, very generous PTO, and others
Global team offsites

Company HQ

Flatiron District, New York, NY

Leadership

Paul Monasterio

(CEO)

Vice President of Applied Predictive Technologies from 2010 to 2016. Experience working in Strategy and Measurement for Facebook.

Daniel Hillman

(COO)

Vice President of Sales for Applied Predictive Technologies from 2009 to 2015. Vice President of Sales for Mastercard from 2015 to 2018.

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