Domino Data Lab

Domino Data Lab

Senior Quality Engineer

Remote US · Senior

Sponsorship not specified$145k-$175kDetected 55 days ago
GoScalaSnowflakeAWSGCPAzureKubernetesCI/CDRESTMachine LearningData ScienceLLMsMLOpsTest AutomationLeadershipCollaboration

About the role

  • Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup.
  • For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
  • This salary range will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location.

Skills

  • For more information, visit www.domino.ai
  • What your impact will be

Compensation

  • $145,000 - $175,000 USD
  • For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Benefits

  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company

Company info

  • At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it. For more information, visit www.domino.ai
  • What we are building
  • Our Quality Engineering team is at the center of how we ship software with speed and confidence. We're a small, highly focused group of engineers on a mission to raise the bar for quality across the entire engineering organization - not by slowing things down, but by embedding smart, scalable practices that make fast delivery more reliable. From CI/CD infrastructure to automated testing frameworks, we build the systems and standards that the rest of engineering depends on to move quickly without breaking things.
  • At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale.
  • Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility - all of which make data science teams more productive, reduce time to value, and ensure compliance.
  • Our customers - like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy - are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country.
  • Especially in the world of AI today, we believe that the future is still being invented - and we want to be the ones building it.
  • Our Quality Engineering team is at the center of how we ship software with speed and confidence.
  • We're a small, highly focused group of engineers on a mission to raise the bar for quality across the entire engineering organization - not by slowing things down, but by embedding smart, scalable practices that make fast delivery more reliable.
  • From CI/CD infrastructure to automated testing frameworks, we build the systems and standards that the rest of engineering depends on to move quickly without breaking things.
  • In your first year, you will:
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This listing is sourced directly from Domino Data Lab's careers page and normalized into a canonical job model.