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.
Not familiar with Domino Data Lab?
Top questions we get asked by candidates
What's most interesting and challenging about working with Domino's client base?
What's hard about what you're building?
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 does your team contribute to core business goals?
How much agency or impact does each individual engineer have on the team?
How much do candidates need to know about your industry?
What challenges are you looking forward to in the next 12 months?
What aspect of your culture do you most fear losing with growth?
Why do team members stay at Domino?
What makes the team effective?
For the team to be more effective, what needs to improve?
What moment are you in as a team?
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
.png)
Resources to learn more about Domino
Read this Wall Street Journal article about how Domino raised $100M in new funding.
