Software Engineer (Scala)

Quantifind•Palo Alto, CA

8d•$130,000 - $155,000•Hybrid

About The Position

Quantifind is seeking a Software Engineer for its Platform team in Palo Alto, California. The team defines and delivers data services and machine learning infrastructure powering the company’s SaaS products. The platform processes terabytes of data daily on dedicated Hadoop clusters and supports interactive investigations through real-time data services. Its technologies include Kubernetes, Docker, Scala, Python, and Spark. The role focuses on Quantifind’s Scala infrastructure for generating risk signals from diverse data sources, including sanctions, politically exposed persons (PEP) records, negative news, and court and arrest records. The engineer will collaborate with Data Scientists, DevOps Engineers, Front-end Engineers, and Product Managers to build clean, performant, maintainable software and improve the design, performance, and testing of the platform. Quantifind is a data science technology company whose AI platform identifies risk signals across disparate, unstructured text sources. It serves financial institutions and government agencies in detecting money laundering, fraud, and criminal networks. The company offers a supportive, collaborative environment that values learning, professional growth, and work-life balance. Its development team is centered in Palo Alto, with technology hubs in Atlanta and Washington, D.C. The position uses a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.

Requirements

Bachelor’s or master’s degree in Computer Science.
At least 2 years of professional software engineering experience focused on platform engineering.
Professional experience with Scala and/or Java.
Professional experience working with PostgreSQL.
Professional experience writing unit tests and automated integration tests.
Ability to design and prototype scalable algorithms.
Ability to create efficient data structures and algorithms when open-source libraries are inadequate.
Ability to build microservices with REST APIs for real-time query engines and web crawlers.
Ability to set up ETL pipelines for data streams.
Solid understanding of concurrency and distributed systems.
Understanding of algorithm complexity and performance implications.
Strong communication skills for working with cross-functional teams.
Legally authorized to work in the United States without employer sponsorship, now or in the future.

Nice To Haves

Understanding of JVM internals and at least 2 years of relevant experience working with JVM code.
Experience with Apache Spark and/or general MapReduce technologies.
Familiarity with storage and caching solutions and their tradeoffs, such as Memcached and Redis.
Knowledge of machine learning techniques.
Professional experience at a software startup.

Responsibilities

Help define and deliver data services and machine learning infrastructure for Quantifind’s platform.
Develop and maintain Scala infrastructure that generates risk signal results from diverse data sources.
Build clean, performant, and maintainable code for microservices and the distributed data platform.
Work cross-functionally with Data Scientists, DevOps Engineers, Front-end Engineers, and Product Managers.
Proactively improve software design, performance, and testing.
Design and prototype scalable algorithms and create efficient data structures and algorithms when existing open-source libraries are insufficient.
Write unit tests and automated integration tests.
Build microservices with REST APIs for real-time query engines and web crawlers.
Set up ETL pipelines for data streams.