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Veracyte

Genomic cancer diagnostics and non-invasive tests

Manager Software Test Automation

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A 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.
  • 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.
  • Experience working within regulated environments including HIPAA, FDA, CAP/CLIA, ISO 13485, or SOC 2.
  • Experience leading distributed engineering organizations.

Responsibilities

  • 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 engineering talent while fostering career growth and technical leadership.
  • 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.
  • Define the 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.
  • 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.
  • Establish engineering metrics measuring 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 applicable healthcare diagnostic regulatory requirements, including HIPAA, CAP/CLIA, and FDA software quality expectations where appropriate.

Desired Qualifications

  • AWS certifications or software testing certifications are a plus.

About the Company

Veracyte

Genomic cancer diagnostics and non-invasive tests

Veracyte develops and sells genomic tests used to detect and diagnose cancer. Its tests are non-invasive when possible, using samples such as nasal swabs or tissue biopsies to analyze genetic information and help determine cancer risk or prognosis. One of its notable offerings is the Decipher Prostate genomic classifier, which estimates prostate cancer prognosis, alongside other tests for early lung cancer risk assessment. The company works with hospitals, clinics, and individual practitioners to provide tools that improve diagnostic accuracy and guide treatment decisions. Veracyte differentiates itself by focusing on clinically validated, non-invasive genomic assays that support early detection and personalized care, and by expanding its test portfolio through ongoing research and clinical studies. Its goal is to help healthcare providers achieve earlier, more accurate cancer diagnoses, improve patient outcomes, and use medical resources more efficiently.

Company size
501-1,000
Company stage
IPO
Headquarters
South San Francisco, CA
Founded
2008

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