Senior Manager - Software Engineering (Health100 Platform)

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.

Position Summary

Health100 is America's trusted front door to health and care. The Health100 platform integrates any participating health plan, PBM, pharmacy (retail and specialty), provider, digital health point solution provider, and employer, and addresses the top health care challenges for the consumer.

The Senior Manager, Software Engineering will lead engineering teams building a best-in-class consumer health experience on the Health100 platform, focused on identifying, prioritizing, shaping, and executing complex platform initiatives. As a key member of our engineering organization, you will drive innovation, manage cross-functional teams, and deliver scalable cloud-native and AI-enabled solutions that improve consumer experiences and business outcomes.

This role works within a top-notch organization of software developers who identify, design, and deliver technology solutions using Java, distributed systems, cloud platforms, and AI-powered capabilities to achieve defined business value. You will guide the integration and validation of complex technology solutions, drive engineering excellence, and leverage emerging technologies including Generative AI and intelligent automation to accelerate innovation and efficiency

• Remote eligible within the United States. Preference for candidates in close proximity to our Woonsocket, RI headquarters.

Responsibilities:

• Technical & Architectural Leadership: Design, oversee, and evolve scalable distributed systems, APIs, and AI-enabled platform capabilities, ensuring solutions meet current and future business needs.
• Team & Talent Development: Recruit, mentor, and retain high-performing engineers while fostering a culture of innovation, continuous learning, and adoption of modern engineering and AI-assisted development practices.
• Execution & Ownership: Lead engineering initiatives end-to-end, from strategy and prioritization through delivery, on complex, high-visibility projects while driving measurable business outcomes.
• Performance, Risk & Governance: Establish KPIs and OKRs, proactively mitigate risks, ensure operational excellence, and promote secure, compliant, and responsible use of AI technologies.
• Collaboration & Innovation: Partner across engineering, product, design, security, analytics, and business teams while staying current on emerging technologies, including Generative AI, machine learning, and intelligent automation.

Required Qualifications

• 8+ years of software engineering experience, including 3+ years managing and growing high-performing engineering teams in Agile, cloud-native environments.
• Strong hands-on technical foundation in Java and microservices architecture.
• 5+ years of cloud development experience (GCP preferred), with the ability to guide architecture decisions and evaluate engineering tradeoffs.
• Proven ability to lead teams through the full software delivery lifecycle from discovery and design through deployment and production operations at scale.
• Experience delivering modern platform capabilities and leveraging AI-powered technologies, large language models (LLMs), intelligent automation, or data-driven solutions to improve business outcomes.

Preferred Qualifications

• Experience in Healthcare, Retail, or Pharmacy domains.
• Strong development experience in Java, microservices, and end-to-end software delivery.
• Experience designing or delivering intelligent orchestration platforms, multi-agent workflows, or knowledge-driven systems that leverage AI to automate and optimize business processes.
• Familiarity with modern AI application architectures, including LLM orchestration, Model Context Protocol (MCP), agentic workflows, vector search, retrieval-augmented generation (RAG), and AI governance practices.
• Experience with CI/CD pipelines, Kubernetes/Docker, observability, and DevOps practices.

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, related field, or equivalent experience (High School diploma plus 4 years relevant work experience).

Pay Range

The typical pay range for this role is:

$106,605.00 - $260,590.00

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. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

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: 10/14/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.