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.
Key Responsibilities
- 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 GitHub, 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, DevOps, 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 initiatives clearly to engineering teams, architects, product owners, business stakeholders, and senior leadership
- Stay current with evolving automation technologies, AI/agent-based workflows, and enterprise automation best practices
Required Qualifications
- 7+ years of experience in Software Development Engineering, Quality Engineering, or related technical disciplines
- 2+ years of experience leading automation strategy and/or managing engineering teams
- Strong hands-on experience with JavaScript/TypeScript, Java, or Python
- Experience building and integrating APIs and distributed systems
- Proven experience with test automation frameworks (e.g., Playwright, Selenium, Cypress)
- Hands-on experience with AI/GenAI tools
- Familiarity with Jira for workflow, defect tracking, and reporting
- Ability to work East Coast business hours
Preferred Qualifications
- Experience in Healthcare, Medicare, or Sales & Acquisition domain
- Exposure to AI-driven SDLC or agent-based automation frameworks
- Experience with AI-assisted testing, self-healing automation, or intelligent test optimization
- Experience with AWS-native services (e.g., Bedrock, Lambda, Step Functions) in the context of test automation or CI/CD pipelines
- Familiarity with Power BI for building dashboards and reporting on engineering/quality metrics
- Understanding of enterprise security, governance, and compliance requirements
- Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
Education
- Bachelor's degree preferred, or equivalent technical training or relevant professional experience.
Anticipated Weekly Hours
40
Time Type
Full time
Pay Range
The typical pay range for this role is:
$83,430.00 - $203,940.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 11/30/2026
