Senior Manager-Quality Engineering and Automation

CVS Health

About The Position

Join Fortune 7 CVS Health as a Senior Manager-Quality Engineering & Automation to lead our organization's efforts to develop and drive strategic vision in establishing the CVS Digital team. The Senior Manager is responsible for defining, leading, and scaling enterprise-wide quality engineering practices across complex, distributed systems. This role will drive the strategy, design, and execution of end-to-end testing frameworks, ensuring high-quality, reliability, and scalable software delivery. The ideal candidate is a hands-on leader with deep expertise in test automation, CI/CD integration, quality engineering transformation, and cross-functional collaboration. They will lead high-performing teams, influence architecture and engineering practices, and champion a shift-left, automation-first quality mindset.

Requirements

5+ years of experience in software quality engineering and leadership/management role.
Hands-on experience with test automation frameworks (e.g., Selenium, Cypress, Playwright, RestAssured, etc.).
Strong expertise in end-to-end testing across UI, API, and backend systems.
Strong knowledge of programming/scripting languages (e.g., Java, Python, JavaScript).
Experience working with microservices architecture, cloud platforms (GCP, Azure, AWS), & distributed systems.
Experience using GenAI/Automation tools and frameworks such as OpenAI, CoPilot, Gemini, Claude, MCP etc.
Experience with performance testing, test data management, and environment orchestration.
Solid understanding of Agile, DevOps, and modern SDLC practices.
Demonstrated ability to lead large, distributed teams and deliver at scale.
Bachelor’s degree or equivalent work experience in Computer Science, Engineering, or related discipline.

Nice To Haves

Experience integrating automated testing into CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitHub Actions).
Experience implementing AI/ML-based test automation and self-healing frameworks.
Exposure to observability tools (e.g., Splunk, Datadog, New Relic) for validation and monitoring.
Knowledge of contract testing, service virtualization, and chaos engineering.
Experience in healthcare, finance, enterprise SaaS, or highly regulated industries.
Familiarity with containerization (Docker, Kubernetes) and cloud-native testing.
Experience managing distributed or global support teams, including offshore.
Strong track record of driving quality engineering transformation initiatives.
Certifications in testing (e.g., ISTQB), cloud platforms, or DevOps are a plus.

Responsibilities

Define and execute the enterprise E2E testing and automation strategy aligned with business objectives.
Drive quality engineering transformation from traditional QA to modern automation-first practices.
Design and oversee robust E2E test frameworks covering UI, API, data, and integration layers.
Ensure comprehensive test coverage across complex microservices and distributed systems.
Establish best practices for test design, test data management, and environment strategies.
Lead the adoption and implementation of modern test automation tools, frameworks, and technologies.
Ensure automation is fully integrated into CI/CD pipelines to enable continuous testing.
Optimize automation coverage, stability, and execution time.
Hire, coach, mentor, and retain top support talent.
Build career paths, training programs, and succession plans for team members.
Foster a culture of accountability, collaboration, and continuous learning.
Promote shift-left and shift-right testing practices, including performance, security, and reliability testing.
Establish metrics (e.g., defect leakage, automation coverage, test execution efficiency) and continuously improve quality KPIs.
Drive adoption of AI/ML-enabled testing tools where applicable.
Partner closely with engineering, product, DevOps, and architecture teams.
Influence design decisions to improve testability, observability, and reliability.
Communicate testing strategy, progress, and risks to senior leadership.
Ensure testing practices comply with regulatory, data privacy, and security requirements.
Standardize QA processes, documentation, and governance across teams.