The Product Engineering Team

We have a monolithic application written in Scala and React that is deployed via Kubernetes, with MongoDB, and RabbitMQ for database and queueing. Our software is deployed on any cloud environment or on-prem. We integrate with many third-party apps, creating a seamless experience that allows data scientists to focus on the data, not on infrastructure, security, auditing, or deployment of their models.

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Top questions we get asked by candidates

What it's like working on the Product Engineering team

Team size and roles

  • The Product Engineering team is made up of 35 people.
  • Model Development is currently 5 engineers, plus an engineering manager, product manager, quality engineer, and UX designer.
  • Model Train currently has 4 engineers, plus an engineering manager, product manager, quality engineer, UX designer, and we are slated for another engineer and an embedded site reliability engineer.
  • Data is currently 7 engineers, with an engineering manager, product manager, quality engineer, and UX designer.
  • PHaM is currently 16 engineers, 4 quality engineers, and a site reliability engineer, UX designer, product manager,  engineering manager, and director.

Remote Work Policy

  • We embrace a remote-first approach and hire engineers in the USA and Canada.

Our Tools

  • Scala
  • React
  • Kubernetes
  • MongoDB and RabbitMQ for database and queueing
  • Our software is deployed on any cloud or on premises
  • We integrate with a lot of 3rd party apps, and create a seamless experience that allows data scientists the ability to focus on the data not on the infrastructure, security, auditing, or deployment of their models.

Our Tools

  • LinkedIn Recruiter
  • Gem
  • Greenhouse
  • Canvas
  • Crosschq

Other frequently asked questions

How Domino Data Lab’s Solutions Architects Are Building the Future of Data Science

Whether helping to develop more effective drugs or providing cheaper health insurance, data science is an indisputable game-changer at the intersection of business and technology. As a staff solutions architect at Domino Data Lab, Nick Jablonski is directly empowering data scientists to solve the world’s most worthy challenges. Below, he discusses his role in the company and how team members have an opportunity to make a big impact.

Win with us

Are you a driven self-starter with low ego and a high degree of ownership? We want to hear from you.
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Read this Wall Street Journal article about how Domino raised $100M in new funding.