Manager, Software Development Engineering; Quality Engineering, Testing

We’re building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

CVS Health is seeking an SDET Manager to lead Quality Engineering and software delivery transformation across the Medicare Sales & Acquisition ecosystem.

This role is critical to modernizing how we build, test, and deliver software, including embedding AI-driven capabilities into the SDLC.

You will translate business workflows (Sales, Enrollment, Broker, and Telesales) into scalable, automated testing solutions that improve speed, quality, and operational efficiency.

This is a hands-on technical leadership role responsible for driving test automation strategy, enabling intelligent SDLC pipelines, and building a high-performing engineering team aligned to enterprise goals. This role will also help shape the team's transition toward AWS-native test infrastructure and agent-orchestrated cycles, positioning the organization to scale automation alongside delivery volume in future years.

• Lead the design and implementation of AI-augmented Quality Engineering solutions - including agentic test generation, self-healing frameworks, and AI-assisted defect analysis - advancing the SDLC toward an AI-driven Automated Delivery Lifecycle (ADLC)
• Drive the migration of automation frameworks and test data management onto AWS-native services (e.g., Bedrock for model orchestration, Lambda/Step Functions for event-driven test pipelines), enabling QE to scale elastically with delivery volume rather than being infrastructure-constrained
• Advance the team's testing model from AI-assisted to agent-orchestrated QE, where autonomous agents manage larger portions of the requirement-to-release cycle (test planning, execution, triage) with human review concentrated at key decision gates
• Translate business processes across Sales & Acquisition into actionable automation strategies and validation models
• Design and implement automated SDLC pipelines, including requirement-to-test generation, PR impact analysis, and automated validation workflows
• Establish evaluation frameworks and quality gates for AI-generated test artifacts and automation outputs, including prompt/response validation, guardrails, and responsible AI governance within the testing lifecycle
• Integrate LLM-based and AI-assisted tooling (test generation, orchestration frameworks, cloud-native services) into existing test automation frameworks, CI/CD pipelines, and enterprise platforms such as Git Hub, Jira, and internal data systems
• Drive adoption of modern automation frameworks (UI, API, data validation) integrated into CI/CD pipelines with quality gates and regression intelligence
  -with particular focus on API test coverage and React component/UI testing given the current tech stack
• Manage, mentor, and grow a team of SDETs, setting technical direction and career development paths
• Partner with cross-functional teams (Business, Product, Engineering, Dev Ops, QE) to ensure solutions are scalable, compliant, and aligned with business outcomes
• Partner with business and technology teams to identify high-value opportunities for AI-driven test automation and translate them into scalable Quality Engineering solutions
• Establish standards, governance models, and reusable automation assets, including prompt libraries and automation accelerators
• Monitor and improve key engineering metrics such as automation coverage, defect…