Scala Platform Engineer — Data & ML Infrastructure

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 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.