Events  Deals  Jobs 
    Sign in  
DataRobot // machine learning automation software for enterprise
Engineering, Full Time    New York City, NY, USA    Posted: Tuesday, June 08, 2021
Apply To Job

DataRobot is looking for talented engineers with a strong background in Linux, distributed & containerized computing, & DevOps to help us build & extend our platform for delivering the most advanced machine learning capabilities into the most challenging customer environments.

We at DataRobot accelerate the process of building, deploying, & managing predictive models to get the most out of valuable data. We work hard to create tools that novice data scientists can use effectively while also exposing the rich detail & control that data science veterans rely on. Our headquarters is in Boston & we have offices across the world.

As a Business Ops Platform Engineer you will:

  • Build & enhance the frameworks & tools we use to build, test, configure, & ship services owned by our team to our cloud environments & our on-premise customers
  • Improve & integrate core systems & services, including logging, monitoring, security, & administration
  • Manage individual projects & milestones with abundant communication of progress
  • Seek, give, & receive constructive feedback to teammates through code & specification reviews


  • 2+ years working with containerization technology (Docker, Kubernetes) & cloud infrastructure providers
  • 2+ years building & maintaining production environments & services
  • 2+ years developing applications, automation, or tools, preferably in Python
  • Linux experience: troubleshooting, scripting, familiarity with multiple distributions
  • Effective verbal & written communication
  • Desire to learn whatever it takes to drive a project to completion

Goot to have:

  • Experience delivering software to both SaaS & on-premise environments
  • Server provisioning systems, e.g., Terraform
  • Experience developing automation for CI/CD
  • Expertise in Linux packaging & build tools
Apply To Job
© 2021 GarysGuide      About    Feedback    Press    Terms