CVS Health
Manager, Software Development Engineering (Quality Engineering, Testing)
$93K–$204K
Work At Home-Illinois +2 · Remote · Manager · Full-time · Posted Sep 23, 2026
- Location
- Work At Home-Illinois
Work At Home-Texas
Work At Home-Arizona - Experience
- 7+ years of relevant technical experience; 2+ years leading automation strategy and/or managing engineering teams.
- Education
- Bachelor’s degree preferred, or equivalent technical training or relevant professional experience.
About the job
Leads Quality Engineering and software delivery transformation for the Medicare Sales & Acquisition ecosystem, including AI-augmented test automation, AWS-native infrastructure, and team development.
What you'll do
- Design and implement AI-augmented testing, automated SDLC pipelines, and quality gates.
- Lead migration of automation frameworks and test data management to AWS-native services and advance agent-orchestrated QE.
- Manage and mentor SDETs; partner with business and technology teams to align scalable testing solutions with business outcomes.
What they ask for
- 7+ years in Software Development Engineering, Quality Engineering, or related technical disciplines.
- 2+ years leading automation strategy and/or managing engineering teams.
- Hands-on experience with JavaScript/TypeScript, Java, or Python; APIs and distributed systems; and API testing tools and test automation frameworks.
- Experience testing React applications, hands-on experience with AI/GenAI tools, familiarity with Jira, and ability to work East Coast business hours.
Nice to have
- Healthcare, Medicare, or Sales & Acquisition experience; exposure to AI-driven SDLC or agent-based automation.
- AWS-native services for test automation or CI/CD; Power BI; or understanding of enterprise security, governance, and compliance.
Pay
$92,700.00 - $203,940.00 USD base salary
Tools
JavaScript/TypeScript, Java, Python, Postman, RestAssured, Karate, Playwright, Selenium
AI focus
Develops AI-augmented and agent-orchestrated testing, including test generation, self-healing automation, defect analysis, and AI-enabled SDLC pipelines; establishes evaluation, guardrails, and responsible AI governance.
Model-written summary · the original posting is authoritative