Software Engineer (Scala)

Quantifind; Iowa; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Meaningful equity

Performance reviews twice per year

Cross-department collaboration

Conferences and classes supported

Premium health, dental, vision plans

4% retirement match

Flexible hours & vacation policy

Remote or in-office options

Job summary

Quantifind in the United States is seeking a Software Engineer for our Platform team to help define and deliver data services and machine learning infrastructure.

You will work on our Scala infrastructure to generate risk signal results from diverse data sources, collaborate across Data Scientists, DevOps, Front-end Engineers and Product Managers, and contribute to scalable, well-tested microservices powering our distributed data platform.

Qualifications

• 2+ years as a software engineer, with a focus on platform engineering
• BS or MS in Computer Science or equivalent
• Knowledge of Machine Learning techniques preferred
• Experience with Apache Spark and MapReduce is a plus
• Proficiency in Java/Scala and JVM internals; building microservices with REST APIs

Responsibilities

• Define and deliver data services and ML infrastructure for the Platform team
• Work on Scala infrastructure to generate risk signals from diverse data sources
• Collaborate with Data Scientists, DevOps, Front-end Engineers and Product Managers
• Contribute to scalable, well-tested distributed data platform

Skills

Scala

Python

PostgreSQL

Spark

Kubernetes

Docker

REST APIs

Distributed systems

JVM

Unit tests

Education

BS or MS in Computer Science

Tools

Apache Spark

MapReduce

Redis/Memcached

Job description

• 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 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

Benefits

• Meaningful equity to full-time employees
• Performance reviews conducted twice per year, with opportunities to advance
• Collaboration across departments - there’s always an opportunity to work on the projects you care most about
• We encourage people to hone their crafts by taking classes and attending conferences
• We pay 95% of your premiums with top medical, dental and vision plans for you and your family, plus other benefits including FSAs and life insurance
• We match employee retirement contributions dollar-for-dollar up to 4% after your first year
• Flexible hours and a flexible vacation policy
• Remote or in-office options

You are proactive in suggesting how to improve the design, performance, and testing of the software that you build You work well with cross-functional teams that include Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers You can effectively balance near-term priorities with forward-looking ways to build a sustainable team culture 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 care deeply about your work and its impact on the work your team does You value the security of a company with a proven business model and enjoy the opportunities a startup offers Knowledge of Machine Learning techniques preferred You can design and prototype scalable algorithms Professional experience writing unit tests and automated integration tests Great communication skills so you can work directly with our Data Scientists, DevOps Engineers, Front-end Engineers and Product Managers Solid understanding of concurrency and distributed systems Understanding of algorithm complexity and performance implications Professional experience working with PostgreSQL Professional software engineer for 2+ years with a focus on platform engineering You can create your own efficient data structures and algorithms when the ones found in open source libraries are lacking BS or MS in Computer Science Understanding of JVM internals and 2+ years of relevant experience working with code that runs in a JVM preferred Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Experience with Apache Spark, and/or general MapReduce technologies preferred 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 Professional experience with Scala and/or Java Professional experience at a software startup strongly preferred Familiarity with storage and caching solutions and the tradeoffs among them (Memcached, Redis, etc.) preferred