Veracyte Manager, Software Test Automation at Veracyte leads the Quality Engineering Platform team to enable engineering excellence. The role involves defining quality engineering strategy and leading a team of SDETs and automation engineers.
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.
Develop scalable automation frameworks supporting unit, integration, API, UI, end-to-end, regression, performance, security, and compliance testing.
Create 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
Qualification
Bachelor's degree in Computer Science6 – 7 years of software engineering3+ years leading Quality EngineeringExcellent communicationExperience in healthcareExperience testing AI-enabled productsExperience with PlaywrightExperience with Kubernetes
Required
Bachelor's degree in Computer Science, Engineering, or a related technical discipline.
6 – 7 years of software engineering, quality engineering, or software development experience.
3+ years leading Quality Engineering, Test Engineering, SDET, or Developer Platform engineering teams.
Proven experience building engineering platforms that improve software quality and developer productivity.
Strong background developing automated testing frameworks for cloud-native applications and distributed systems.
Experience integrating automated testing into CI/CD pipelines and modern DevOps practices.
Experience building internal developer platforms, engineering tooling, or self-service engineering capabilities.
Strong understanding of AWS cloud technologies, APIs, distributed systems, and modern software architecture.
Excellent communication, stakeholder management, organizational, and people leadership skills.
Preferred
Experience in healthcare, diagnostics, laboratory information systems (LIS/LIMS), molecular diagnostics, or regulated medical software.
Experience validating healthcare interoperability standards including HL7, FHIR, X12, and related healthcare transactions.
Experience testing AI-enabled products, machine learning systems, or generative AI applications.
Experience using AI-assisted development and testing tools to improve engineering productivity.
Experience with Playwright, Cypress, Selenium, REST Assured, Karate, Postman, JUnit, TestNG, or similar automation technologies.
Experience building automation using Java, Python, JavaScript/TypeScript, or C#.
Experience with Kubernetes, Docker, Infrastructure as Code, and cloud-native platforms.
Experience implementing performance engineering, security testing, chaos engineering, or site reliability engineering practices.
