Senior QA Automation Platform Manager – AI-Driven Quality

Veracyte; San Diego (CA); Hybrid; USD 147,000 - 163,000; Full time

Job summary

Veracyte is seeking a Manager of Software Test Automation to lead the Quality Engineering Platform in San Diego, CA. You will define the quality strategy, build scalable automation platforms, and enable product teams to validate cloud-native applications and APIs.

You will guide SDETs and automation engineers, foster ownership and continuous improvement, and partner with Data & AI, DevOps, and CloudOps to integrate quality throughout the software lifecycle.

Qualifications

• 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.

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 exceptional 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 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.
• 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 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.

Skills

Automation frameworks

CI/CD integration

Platform engineering tooling

AWS cloud technologies

Education

Bachelor's degree in Computer Science, Engineering, or related

Tools

Playwright

Cypress

Selenium

REST Assured

Karate

Postman

JUnit

TestNG

Kubernetes

Docker

Infrastructure as Code

Job description

Veracyte is seeking a Manager of Software Test Automation to lead the Quality Engineering Platform in San Diego, CA. You will define the quality strategy, build scalable automation platforms, and enable product teams to validate cloud-native applications and APIs.

You will guide SDETs and automation engineers, foster ownership and continuous improvement, and partner with Data & AI, DevOps, and CloudOps to integrate quality throughout the software lifecycle.