Senior Software Engineer (Scala)

Quantifind•Palo Alto, CA

2d•Hybrid

About The Position

Quantifind is seeking a Senior Software Engineer to work on Quantifind’s Apache Spark pipeline that generates risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more. You will help define and deliver data services and machine learning infrastructure. The Platform Team owns the backend that powers the SaaS products we build for our customers. We process terabytes of data each day on our own dedicated Apache Spark clusters. 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 constantly being proactive in finding new ways to improve the design, performance, and testing of the software that you build. You can effectively juggle immediate competing priorities while taking the long view to figure out how to build a bigger and better company and culture. You value the security of a company with a proven business model and enjoy the opportunities a startup offers. You’re looking to explore a client-facing role at the intersection of software and consulting. You are obsessed with the idea of delighting clients at some of the world’s leading Financial Institutions helping them identify financial crimes. You have always been a strong critical thinker and know how to problem solve. You are an excellent communicator with the ability to distill complex concepts into clear and effective verbal and written presentations. You are comfortable working closely with Sales, Product and Technology teams to promote a Customer Centric culture. You have an entrepreneurial spirit with a deep sense of personal accountability for work product quality and always take the initiative to propel work products to new heights. You maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team. Quantifind is the Risk Intelligence company. We help some of the world’s biggest banks identify money laundering and fraud. Quantifind also works with government agencies, using the same platform, to uncover criminal networks and support national security. Unlike other players in this space, Quantifind delivers results through an AI-driven software-as-a-service (SaaS) solution with consumer-grade user experiences. Quantifind’s Graphyte platform uncovers signals of risk across disparate and unstructured text sources using artificial intelligence and natural language processing techniques. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously. Demand for this solution is fueling our rapid growth. To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

Requirements

BS or MS in Computer Science
5+ years working as a professional Software Engineer with a focus on platform engineering
Professional experience at a software startup strongly preferred
Great communication skills so you can work directly with our 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 JVM
Can design and prototype scalable algorithms
Can 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, HDFS, 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.)
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice To Haves

Familiarity with Machine Learning techniques

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.
Write clean, performant, and maintainable code that powers well-designed microservices and enhances Quantifind’s distributed data platform.
Proactively find 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.
Explore a client-facing role at the intersection of software and consulting.
Delight clients at some of the world’s leading Financial Institutions helping them identify financial crimes.
Distill complex concepts into clear and effective verbal and written presentations.
Work closely with Sales, Product and Technology teams to promote a Customer Centric culture.
Take the initiative to propel work products to new heights.
Maintain a positive attitude even in a deadline-driven environment, bring out the best in others, and enjoy contributing to the success of the team.
Build microservices with REST APIs for real-time query engines and web crawlers.
Build and deploy microservices in Kubernetes.
Set up ETL pipelines for data streams.