Main Requirements:
3+ years development experience in Python
Demonstrable knowledge of computer science fundamentals, whether by degree or otherwise
Linux proficiency
System/performance engineering (profiling process memory/cpu/io/network usage, system calls, flame graphs)
Personal drive to get things finished
Effective communication behavior
Candidates can distinguish themselves with the following criteria:
8+ years development experience
Publicly reviewable contributions to interesting development projects
Experience with both python 2 and 3
Experience with R
Experience supporting user-facing code and APIs
Data Science experience
Experience/understanding resource management services workflow (Hadoop/Yarn, Mesos, Kubernetes, AWS, OpenStack, Docker or any other)
DataRobot accelerates the process of building predictive models to get the most out of valuable data. We work hard to create tools that nascent data scientists can use effectively while also exposing the rich detail and control that data science veterans rely on. Our headquarters is in Boston, with offices in Kiev, Singapore, and Tokyo.
In order to keep up with the demand for new features in DataRobot, we are looking to grow our backend engineering team. Primary responsibilities of this team include developing new data science tools, designing and supporting our APIs, and instrumenting DataRobot to integrate with enterprise IT infrastructure. Our team uses the following technology on a routine basis: Python, Flask, MongoDB, pytest, docker, Redis, NGINX and RabbitMQ among many others.