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Director of Quality Assurance Engineering
MachinifyDirector of Quality Assurance Engineering at Machinify overseeing the QA function throughout the software development lifecycle. Leading strategy and quality improvements in the AI-accelerated development environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading quality engineering teams, driving AI-driven quality strategies, and establishing robust testing methodologies in regulated environments. Capable of integrating AI evaluation methodologies into development pipelines while ensuring high standards of quality and compliance.
Highest-signal resume keywords
10+ Years Software Quality Engineering Experience4+ Years Leadership ExperienceAI-Driven Quality ArchitectureExperience in Regulated EnvironmentsMutation Testing and Risk-Based Testing
ATS Keywords
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Hard Skills
Quality EngineeringAI-Generated Test EvaluationDefect Triage ProtocolsContinuous Integration/Continuous Deployment (CI/CD)Test Data StrategyMutation TestingRisk-Based TestingProduction ObservabilityExit Criteria DefinitionEvaluation Methodologies
Soft Skills
Team LeadershipInspirationCollaborationCommunicationOrganizational Quality Representation
Industry Keywords
HIPAAUS HealthcareQuality Function TransformationAI-Accelerated DevelopmentQuality Metrics
About the role
Key responsibilities & impact- Rethink the QA team methodologies and skillsets/training in a world where AI generates the majority of code — evaluation methodologies, coverage metrics that account for AI-generated tests, and scaling to validation of multiplying volumes of code and use cases, without proportional headcount growth.
- Lead, grow, and inspire a high-performing team of Quality Engineers; own hiring targets, career ladders, and a high impact, innovative culture; Grow leadership muscle in your team.
- Represent quality to executive leadership and regulators with meaningful metrics and auditable evidence; be the organizational quality gate.
- Own an AI-driven technical quality architecture: test data strategy in PHI-constrained environments, CI/CD-integrated gate design, and the automation framework philosophy across unit, integration, and end-to-end surfaces.
- Establish release quality standards and exit criteria that balance engineering velocity with production confidence; Define defect triage and escalation protocols used across teams.
- Partner with platform and MLE to integrate AI/LLM evaluation methodology into the delivery pipeline.
Requirements
What you’ll need- 10+ years of software quality engineering experience, with 4+ years in a leadership role and 2+ years driving strategy and execution in an AI-accelerated development environment.
- Track record of building or transforming a quality function at scale — org and role design, not just team management.
- Experience evaluating AI-generated tests for correctness of intent and coverage fidelity — able to distinguish tests that pass from tests that actually verify the right behavior.
- Experience showing measurable impact with mutation testing, risk-based testing, and production observability as a continuous quality gate.
- Experience in regulated environments (HIPAA or equivalent) strongly preferred.
- Excitement to make an impact in rewiring US healthcare!
Benefits
Comp & perks- Top Medical/Dental/Vision offerings
- FSA/HSA
- Tuition reimbursement
- Competitive salary, 401(k) with company match
- Unlimited PTO
- Additional health and wellness benefits and perks
- Flexible and trusting environment where you’ll feel empowered to do your best work