Software Engineer in Test

Job Description

About DataRobot

DataRobot is the leader in enterprise AI, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time.

The company’s proven combination of cutting-edge software and world-class AI implementation, training, and support services empower any organization – regardless of size, industry, or resources – to drive better business outcomes with AI. With a singular focus on AI since its inception, DataRobot has a proven track record of delivering AI with ROI. DataRobot has offices across the globe and more than $700 million in funding from top-tier firms, including Altimeter, New Enterprise Associates, Sapphire Ventures, Meritech, and DFJ Growth. For more information, visit https://www.datarobot.com, and join the conversation on Twitter and LinkedIn.

Software Engineer in Test

This is an exciting opportunity to flex your test automation and performance engineering skills in creating a massive, breathtaking demonstration of the power of DataRobot. Your passion for quality will contribute to the DataRobot product while exercising it at scale and preparing us for the next phase of massive AI market growth.

Responsibilities

You will be responsible for:

• Building a high-performance automation system in Python, showcasing many features of our product
• Automating thousands of end-to-end AI workflows
• Diagnosis and resolution of performance and quality issues in the automation framework and system under test

Requirements

• 3+ years of experience in Python-based test automation
• 2+ years of experience in performance testing
• Desire to work deeply with end-to-end AI workflows and modern data systems

Desired

• Experience with performance profiling techniques
• Data analytics skills
• Experience working in a mature DevOps environment
• Comfort with cloud services, Docker, Kubernetes, and Linux