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Director, Quality Engineering – Automation
EmpiRx Health. Establish a modern Quality Engineering strategy and quality-first mindset across engineering .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive expertise in Quality Engineering, focusing on test automation, data validation, and CI/CD practices. Proven ability to lead quality transformations, establish data quality standards, and influence engineering leadership in highly regulated environments.
Highest-signal resume keywords
15+ Years Experience In Software Quality EngineeringExpertise In CI/CD Pipelines And Test AutomationStrong Knowledge Of Modern Testing FrameworksExperience With Agile, Scrum, And Kanban EnvironmentsHands-On Experience With Performance Testing Tools
ATS Keywords
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Hard Skills
Test AutomationData ValidationQuality Engineering TransformationsUnit TestingIntegration TestingRegression TestingUAT TestingData Quality Best PracticesDefect TrackingRisk-Based Testing Strategies
Soft Skills
Influencing Engineering LeadershipCoaching SDETsDriving ChangeCollaboration With Product OwnersAligning Quality Work With Sprint Priorities
Tools & Technologies
PlaywrightRESTSharpReqnroll/CucumberNUnitGreat ExpectationsDbt TestsCloud-Native Testing StrategiesAgentic Development ToolsPerformance Testing ToolsData Quality Frameworks
Industry Keywords
Highly Regulated IndustriesHealthcareFintechInsuranceData Governance Best PracticesMedallion Architecture Validation
Tech Stack
Tools & technologiesAWSAzureCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Establish a modern Quality Engineering strategy and quality-first mindset across engineering
- Assess quality maturity, defect patterns, failure modes, and delivery risks for each team
- Prioritize quality improvements based on risk, customer impact, and engineering value
- Define unit testing, integration testing, and automation strategies
- Develop a comprehensive test automation strategy for regression and UAT testing
- Align engineering, DevOps, CI/CD, and data processing workflows
- Define data quality standards across ingestion, transformation, pipeline execution, and gold-level data storage
- Establish standards and governance for validating AI-generated code and tests
- Influence senior engineering and product leadership on quality objectives and standards
- Partner with product owners and Scrum teams to identify quality risks and align quality work with sprint priorities
- Directly manage and coach SDETs embedded in Scrum teams
- Establish quality metrics, reporting, and governance
- Drive adoption of defect tracking, data validation, and quality monitoring tools
- Define and implement automation-forward, risk-based testing strategies
- Establish best practices for API, performance, security, and exploratory testing
- Integrate automated testing within CI/CD and data pipelines
- Ensure data validation, schema enforcement, and lineage tracking throughout the data lifecycle
- Evolve AI-augmented test automation ecosystems using tools including Playwright, RESTSharp, Reqnroll/Cucumber, NUnit, Great Expectations, and dbt tests
- Lead standards for reporting and analytics testing frameworks
Requirements
What you’ll need- 15+ years of experience in software quality engineering, data validation, test automation, and DevOps
- Proven track record of leading quality engineering transformations at scale
- Strong knowledge of modern testing frameworks, automation strategies, and data quality best practices
- Experience defining unit, integration, regression, UAT testing, and data validation standards
- Expertise in CI/CD pipelines, test orchestration, DevOps practices, and data processing pipelines
- Hands-on experience with test automation tools and data quality frameworks
- Experience working in Agile, Scrum, and Kanban development environments
- Strong ability to influence engineering and product leadership and drive change
- Hands-on experience with agentic development tools such as Claude Code, Codex, and Cursor, and the ability to apply them to quality engineering, test automation, and CI/CD workflows
- Experience with cloud-native testing strategies across AWS, Azure, and/or GCP
- Experience leading as a hands-on player-coach, developing direct reports while contributing directly to technical work
- Experience leading or partnering with SDETs embedded in Agile/Scrum teams and aligning quality work with product backlogs and sprint priorities
- Experience with data engineering principles, medallion architecture validation, data quality, and data governance best practices
- Experience working in highly regulated industries (healthcare, fintech, insurance, etc.)
- Hands-on experience with performance testing tools
- Exposure to security testing methodologies
Benefits
Comp & perks- Paid Time Off
- 401(k) program
- Health Insurance
- Dental coverage
- Vision coverage
- Health Savings Account
- Employee Assistance Program