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
• 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 leakage, cycle time, and delivery efficiency
• Communicate automation strategy and AI‑driven quality…