Director, Quality Engineering – Automation

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop a contemporary Quality Engineering strategy and foster a quality-first culture within engineering.

• Evaluate the quality maturity, defect trends, failure modes, and delivery risks for each team.

• Prioritize enhancements in quality based on risk, customer impact, and engineering value.

• Create strategies for unit testing, integration testing, and automation.

• Formulate a detailed test automation strategy for regression and UAT testing.

• Coordinate engineering, DevOps, CI/CD, and data processing workflows.

• Set data quality benchmarks across ingestion, transformation, pipeline execution, and gold-level data storage.

• Develop standards and governance for validating AI-generated code and tests.

• Influence senior engineering and product leadership regarding quality goals and standards.

• Collaborate with product owners and Scrum teams to pinpoint quality risks and synchronize quality initiatives with sprint priorities.

• Directly oversee and mentor SDETs integrated within Scrum teams.

• Establish quality metrics, reporting, and governance frameworks.

• Promote the use of defect tracking, data validation, and quality monitoring tools.

• Define and execute automation-forward, risk-based testing methodologies.

• Create best practices for API, performance, security, and exploratory testing.

• Incorporate automated testing into CI/CD and data pipelines.

• Guarantee data validation, schema enforcement, and lineage tracking throughout the data lifecycle.

• Advance AI-enhanced test automation ecosystems utilizing tools such as Playwright, RESTSharp, Reqnroll/Cucumber, NUnit, Great Expectations, and dbt tests.

• Lead the establishment of standards for reporting and analytics testing frameworks.

⛳️ Requirements

• Over 15 years of experience in software quality engineering, data validation, test automation, and DevOps.

• Demonstrated success in spearheading quality engineering transformations on a large scale.

• Extensive knowledge of modern testing frameworks, automation methodologies, and data quality best practices.

• Experience in defining standards for unit, integration, regression, UAT testing, and data validation.

• Proficiency in CI/CD pipelines, test orchestration, DevOps practices, and data processing workflows.

• Practical experience with test automation tools and data quality frameworks.

• Familiarity with Agile, Scrum, and Kanban development methodologies.

• Strong capability to influence engineering and product leadership to drive change.

• Hands-on experience with agentic development tools like Claude Code, Codex, and Cursor, applying them to quality engineering, test automation, and CI/CD workflows.

• Knowledge of cloud-native testing strategies across AWS, Azure, and/or GCP.

• Experience in a hands-on player-coach role, nurturing direct reports while contributing directly to technical efforts.

• Background in leading or collaborating with SDETs embedded in Agile/Scrum teams, ensuring alignment of quality work with product backlogs and sprint focuses.

• Understanding of data engineering principles, medallion architecture validation, data quality, and data governance best practices.

• Experience in highly regulated sectors (healthcare, fintech, insurance, etc.).

• Practical experience with performance testing tools.

• Familiarity with security testing methodologies.

🏝️ Benefits

• Paid Time Off

• 401(k) program

• Health Insurance

• Dental coverage

• Vision coverage

• Health Savings Account

• Employee Assistance Program