Software Engineer, Quantifind

Scala

$130-155k

Docker

Kubernetes

Python

Scala

Java

Redis

Postgres

Hadoop

Spark

MapReduce

REST API

Junior and Mid level

San Francisco Bay Area

More information about location

Office located in Palo Alto, CA

Automated AML investigations

Be an early applicant

Automated AML investigations

21-100 employees

FintechB2BArtificial IntelligenceSecurityBig dataMachine LearningSaaSAPIData AnalysisAutomation

Be an early applicant

$130-155k

Docker

Kubernetes

Python

Scala

Java

Redis

Postgres

Hadoop

Spark

MapReduce

REST API

Junior and Mid level

San Francisco Bay Area

More information about location

Office located in Palo Alto, CA

21-100 employees

FintechB2BArtificial IntelligenceSecurityBig dataMachine LearningSaaSAPIData AnalysisAutomation

Company mission

To help customers leverage powerful AI and disruptive science to automatically discover hidden criminal and financial risk.

Job

Company

Role

Who you are

You care deeply about your work and its impact on the work your team does
You hold yourself to a high standard when it comes to writing clean, performant, and maintainable code that powers well-designed microservices and enhances Quantifind’s distributed data platform
You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
You are proactive in suggesting how to improve the design, performance, and testing of the software that you build
You can effectively balance near-term priorities with forward-looking ways to build a sustainable team culture
You value the security of a company with a proven business model and enjoy the opportunities a startup offers
BS or MS in Computer Science
Professional software engineer for 2+ years with a focus on platform engineering
Professional experience with Scala and/or Java
Professional experience working with PostgreSQL
Understanding of JVM internals and 2+ years of relevant experience working with code that runs in a JVM preferred
Experience with Apache Spark, and/or general MapReduce technologies preferred
You can design and prototype scalable algorithms
You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
Professional experience writing unit tests and automated integration tests
You can build microservices with REST APIs for real-time query engines and web crawlers
You know how to set up ETL pipelines for data streams
Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.) preferred
Solid understanding of concurrency and distributed systems
Understanding of algorithm complexity and performance implications
Knowledge of Machine Learning techniques preferred
Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
Professional experience at a software startup strongly preferred

What the job involves

Quantifind is seeking a Software Engineer for our Platform team to help define and deliver data services and machine learning infrastructure
The Platform team owns all the infrastructure that powers the SaaS products we build for our customers
We process terabytes of data each day on our own dedicated Hadoop clusters
We use real-time data services to enable interactive investigations in our web applications
We use Kubernetes and Docker for our container ecosystem, and we develop standalone services in Scala and Python and use Spark for MapReduce jobs

Our take

The global cost of money laundering stands in the trillions of dollars, with related fines costing businesses billions a year. Quantifind aims to help combat this with automated risk decisions and anti-money laundering investigations, freeing up clients' security teams to focus on the biggest threats.

Quantifind's AI-driven "Graphyte" platform encompasses GraphyteSearch, a web-based investigation application, plus GraphyteAPI for integration, and GraphyteBatch that enables users to submit large numbers of queries at once. Altogether, this allows the platform to act as a one-stop shop for AML, delivering value across the whole risk mitigation process.

At the end of 2022, Quantifind was named one of the most innovative companies in the industry by Fintech Global, after signing 4 of the largest banks in the world, showing the impressively high regard in which its solutions are held. It received $23 million in funding in 2023 to expand its international presence, grow brand recognition, and continue to enhance its offerings.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Glassdoor (4.4)

Company

Funding (last 2 of 6 rounds)

Jan 2025

$22m

LATE VC

Mar 2023

$23m

EARLY VC

Total funding: $113.3m

Company benefits

Meaningful equity to full-time employees
Performance reviews conducted twice per year, with opportunities to advance
Collaboration across departments - there’s always an opportunity to work on the projects you care most about
Flexible hours and a flexible vacation policy
Remote or in-office options
We encourage people to hone their crafts by taking classes and attending conferences
We pay 95% of your premiums with top medical, dental and vision plans for you and your family, plus other benefits including FSAs and life insurance
We match employee retirement contributions dollar-for-dollar up to 4% after your first year

Company HQ

Downtown North, Palo Alto, CA

Leadership

Ari Tuchman

(Co-Founder & CEO)

Founder and Chairman of Entanglement Technologies. Former Research Scientist at Stanford.

John Stockton

(Co-Founder)

Has worked as a Physicist at Entanglement Technologies, and was a Postdoc at Stanford.

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