The QE Team
The QE Team serves an information delivery function. We shine a light onto Domino's product to help Product and Engineering understand the quality and reliability of what we have collectively built, identify areas worth improving, and provide guidance for improvement efforts. We do this through pre-release testing of new product features, automation of regression tests, and building test-related internal tooling for engineering needs. It is also our job to define and implement processes that aim to assure, improve, and report on quality. One thing QE cannot do alone is actually make the product quality better. That is the shared duty of the entire engineering organization.
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Top questions we get asked by candidates
What's hard about what you're building?
What have you learned since coming to Domino?
What it's like working on the QE team
Team size and roles
- Automation QE consists of 5 individual contributors and 1 manager
- Scale/Performance QE consists of 5 individual contributors and 1 manager
- Platform QE consists of 5 individual contributors and 1 manager
- Product QE consists of 9 individual contributors and 1 manager
- Scale/Performance QE consists of 5 individual contributors and 1 manager
Remote Work Policy
- We embrace a hybrid approach (mix of in-office and work-from-home).
Our tools
- Python
- Bash
- Linux/Unix
- git / Github
- Docker / Kubernetes / AWS
- CircleCI
- New Relic, Grafana
- Selenium
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.
Domino scales data science and its value with a centralized, modern platform that data scientists love and IT administrators trust. The result? Data science is unleashed to deliver transformative value across your organization and to your customers.
Win with us
Are you a driven self-starter with low ego and a high degree of ownership? We want to hear from you.
