Manager Software Test Automation

Key Responsibilities

• Engineering Leadership
• Lead, mentor, and grow a high-performing Quality Engineering Platform team.
• Define and execute the long-term strategy for quality engineering, automation, and developer enablement.
• Build an engineering culture focused on innovation, continuous improvement, ownership, and operational excellence.
• Recruit, develop, and retain exceptional engineering talent while fostering career growth and technical leadership.

Quality Engineering Platform

• Build and evolve self-service quality engineering platforms that enable product teams to independently validate their software.
• Create scalable automation frameworks supporting unit, integration, API, UI, end-to-end, regression, performance, security, and compliance testing.
• Develop reusable testing libraries, tooling, templates, and CI/CD integrations that standardize quality practices across engineering.
• Define quality engineering standards, reference architectures, and best practices adopted across development teams.
• Enable continuous verification through automated quality gates, production validation, synthetic monitoring, and release health checks.

AI-Enabled Quality Engineering

• Define Veracyte's strategy for leveraging AI throughout the software testing lifecycle.
• Build AI-assisted capabilities for automated test generation, regression analysis, defect classification, release risk assessment, test maintenance, and synthetic test data creation.
• Partner with Data & AI teams to develop validation strategies for AI-powered products, including LLM evaluation, prompt regression testing, model monitoring, and human-in-the-loop verification.
• Evaluate and adopt emerging AI technologies that improve engineering productivity and software quality.

Developer Enablement

• Partner with Software Engineering teams to embed quality throughout the software development lifecycle using shift-left and shift-right engineering practices.
• Coach engineering teams on automation strategies, testing best practices, and quality ownership.
• Provide consulting, tooling, and technical guidance that enables product teams to deliver software with confidence.
• Partner with DevOps and CloudOps to integrate quality engineering into modern CI/CD pipelines and cloud-native delivery platforms.

Operational Excellence

• Establish engineering metrics that measure software quality, automation effectiveness, developer productivity, release confidence, platform adoption, and customer impact.
• Drive observability, defect prevention, root cause analysis, and continuous improvement initiatives.
• Ensure software validation activities support regulatory requirements applicable to healthcare diagnostics, including HIPAA, CAP/CLIA, and FDA software quality expectations where appropriate.