Q

Quantifind

Builds AI software for financial crime investigations

Senior Software Engineer - Scala

Backend EngineeringConfirmed live in the last 24 hours
Full-timeWashington, USA

About the Job

Requirements

  • BS or MS in Computer Science
  • 5+ years working as a professional Software Engineer with a focus on platform engineering
  • Great communication skills to work directly with Data Scientists, DevOps Engineers, and Product Managers
  • Solid understanding of concurrency and distributed systems
  • Professional experience building software with Scala and/or Java
  • Experience working with code that runs in a Java Virtual Machine
  • Ability to design and prototype scalable algorithms
  • Ability to create your own efficient data structures and algorithms when the ones found in open source libraries are lacking
  • Deep understanding of algorithm complexity and performance implications
  • Experience with Apache Spark, Hadoop Distributed File System, Iceberg, Airflow, and/or general MapReduce technologies
  • Professional experience writing unit tests and automated integration tests
  • Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, Postgres, etc.)
  • Ability to build microservices with REST APIs for real-time query engines and web crawlers
  • Ability to build and deploy microservices in Kubernetes
  • Ability to set up ETL pipelines for data streams
  • Familiarity with Machine Learning techniques
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Responsibilities

  • Work on Quantifind’s Apache Spark batch infrastructure to generate risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more
  • Define and deliver data services and machine learning infrastructure
  • Own backend powering the SaaS products; process terabytes of data daily on our own dedicated Apache Spark clusters
  • Write clean, performant, and maintainable code powering well-designed microservices and enhances Quantifind’s distributed data platform
  • Collaborate with Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
  • Be proactive in finding new ways to improve the design, performance, and testing of the software
  • Juggle immediate competing priorities while taking the long view to figure out how to build a bigger and better company and culture

Desired Qualifications

  • Professional experience at a software startup strongly preferred

About the Company

Quantifind

Builds AI software for financial crime investigations

Quantifind builds software that banks and government agencies use to screen customers, investigate financial crime and assess risks in vendors or business partners. Its Graphyte platform uses machine learning to connect names with relevant records, then ranks evidence from news, watchlists and company data for review. Analysts search through a web application, generate investigation reports and access the same intelligence through APIs and links to existing case-management systems. The company sells Graphyte as cloud software for compliance and investigation teams, with tools for individual queries and large batches of names. Founded in 2009, Quantifind is headquartered in Palo Alto, California.

Company size
51-200
Company stage
Late Stage VC
Total funding
$313.3M
Headquarters
Palo Alto, CA
Founded
2009

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