Domino Data Lab

Senior Quality Engineer

Domino Data Lab$145K — $175K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years experience in automation frameworks and CI systems
  • Proficient with Kubernetes and cloud platforms like AWS, Azure, or GCP
  • Experience shipping compliance-critical software in regulated industries
  • Ability to influence cross-functional teams without direct authority
  • Familiarity with cucumber library is a plus

Responsibilities

  • Extend existing automation framework to address uncovered areas
  • Enhance automated testing coverage on critical compliance paths
  • Minimize customer-reported defects in compliance-critical surfaces
  • Develop an AI-assisted testing pipeline aligned with accelerated development
  • Create a visible quality risk and coverage map for leadership

Benefits

  • Equity participation
  • Company bonuses or sales commissions
  • 401(k) plan
  • Comprehensive medical, dental, and vision coverage
  • Wellness stipends
Full Job Description
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.

What your impact will be

In your first year, you will:
  • Pick up the existing automation framework, extend it to under-covered surfaces, and harden it for a higher-velocity merge environment
  • Push automated coverage on critical paths (policy gates, audit trail, RBAC, lineage, data connectors) toward 100%, and hold the line as merge velocity climbs
  • Drive customer-reported defects on compliance-critical surfaces toward zero
  • Build an LLM-assisted test pipeline that matches AI-accelerated development with AI-accelerated testing
  • Make quality posture visible to leadership through a living risk and coverage map both teams own

What we look for in this role

Must-Have Experience
  • Owned a complex automation platform: end-to-end frameworks, CI systems, multi-stage automation
  • Kubernetes and cloud-native fluency at scale (AWS, Azure, and/or GCP)
  • Shipped compliance-critical software where audit trail, RBAC, or governance correctness affected customer audits (pharma, finance, govtech, healthtech, MLOps)
  • Senior-level influence across multiple teams without direct authority
  • Knowledge of cucu library is a plus

Bonus Points
  • Contract testing for integration-heavy products with connector/plugin matrices
  • Stateful workflow / approval-flow testing (state machines, gated transitions, policy engines)
  • LLM-augmented QA: test generation, triage, or fuzzing with AI
  • MLOps or data-platform domain background (model registries, lineage, MLflow, data lake/warehouse); Scala or Go a plus

What we value
  • We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
  • We believe in individuals who seek truth and speak the truth and can be their whole selves at work
  • We value all of you that believe improving is always possible At Domino Everything is a work in progress - we can do better at everything
  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

The annual US base salary range for this role is listed below. 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. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

Compensation Range

$145,000-$175,000 USD

About Domino Data Lab

Domino Data Lab is a software company that provides a platform for data science teams to collaborate and build models. The company was founded in 2013 and is headquartered in Oakland, California. Domino Data Lab's platform allows data scientists to work together on projects, share code and data, and track experiments. The company also offers tools for model deployment and management. Domino Data Lab aims to help organizations make better decisions by leveraging the power of data science.
Learn more about Domino Data Lab
Size
200 employees
Industry
Founded
2013

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