Senior Quality Engineer

Domino Data Lab is a company that builds software to support AI-driven organizations in developing and operating advanced data science solutions. They are seeking a Senior Quality Engineer to enhance the quality of software delivery by extending automation frameworks and ensuring high standards across the engineering organization.

Responsibilities:

• 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

Requirements:

• 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
• 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