Software Engineer (Scala)

Quantifind•Palo Alto, CA

2d•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.

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
2+ years of relevant experience working with code that runs in a JVM
Design and prototype scalable algorithms
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
Build microservices with REST APIs for real-time query engines and web crawlers
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

Experience with Apache Spark, and/or general MapReduce technologies
Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.)
Knowledge of Machine Learning techniques
Professional experience at a software startup

Responsibilities

Define and deliver data services and machine learning infrastructure.
Develop standalone services in Scala and Python.
Use Spark for MapReduce jobs.
Write clean, performant, and maintainable code that powers well-designed microservices.
Enhance Quantifind’s distributed data platform.
Work with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers.
Suggest improvements to the design, performance, and testing of software.
Balance near-term priorities with forward-looking ways to build a sustainable team culture.
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.