Software Engineer (Scala)

Quantifind•Palo Alto, CA

4h•$130,000 - $155,000•Hybrid

About The Position

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. 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. Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as Software-as-a-Service (SaaS) with consumer-grade user experiences. Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk. While incumbent solutions based on legacy technologies demand increasingly more human resources as the operations expand, Quantifind’s SaaS solution scales by offering a way to cut through the inefficiency and enhance effectiveness through Machine Learning driven solutions that resolve for both accuracy and relevance. 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. Quantifind is seeking a Software Engineer for our Platform team in Palo Alto, California. You will work on Quantifind’s Scala infrastructure to generate risk signal results from diverse data sources such as Sanctions, PEP records, Negative News, Court & Arrest records, and much more. Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and Washington, D.C. Quantifind is currently using a hybrid mix of working from home and in the office, with regular in-person touchpoints and shared office space.

Requirements

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
Solid understanding of concurrency and distributed systems
Understanding of algorithm complexity and performance implications
Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers
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 storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.) preferred
Knowledge of Machine Learning techniques preferred
Professional experience at a software startup strongly preferred