CVS Health
Senior Manager - Software Engineering (Health100 Platform)
$107K–$261K
Work At Home-Massachusetts +5 · Remote · Manager · Full-time · Posted Oct 30, 2026
- Location
- Work At Home-Massachusetts
Work At Home-North Carolina
Work At Home-Washington
Work At Home-Texas
Work At Home-Illinois
Work At Home-Minnesota - Experience
- 8+ years software engineering, including 3+ years managing teams; 5+ years cloud development.
- Education
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field, or equivalent experience (High School diploma plus 4 years relevant work experience).
About the job
Leads engineering teams building and operating scalable, AI-enabled consumer health platform capabilities on Health100.
What you'll do
- Set technical direction for distributed systems, APIs, and AI-enabled capabilities; guide integration and validation.
- Lead engineering initiatives from prioritization through production delivery, establishing KPIs and managing risks.
- Recruit, mentor, and retain engineers while partnering across product, design, security, analytics, and business teams.
What they ask for
- 8+ years of software engineering experience, including 3+ years managing and growing engineering teams in Agile, cloud-native environments.
- Strong hands-on foundation in Java and microservices architecture.
- 5+ years of cloud development experience (GCP preferred).
- Experience leading the full software delivery lifecycle and delivering AI-powered, LLM, intelligent automation, or data-driven solutions.
Nice to have
- Experience in Healthcare, Retail, or Pharmacy domains.
- Experience with AI orchestration and architectures such as multi-agent workflows, MCP, RAG, and vector search; or CI/CD, Kubernetes/Docker, observability, and DevOps.
Pay
$106,605.00 - $260,590.00 USD base annual full-time salary or base hourly rate; the posting does not specify which applies to this position.
Tools
Java, GCP, microservices, LLMs, Model Context Protocol (MCP), vector search, retrieval-augmented generation (RAG), Kubernetes/Docker
AI focus
Leads development and responsible use of AI-enabled platform capabilities, including Generative AI, LLM orchestration, agentic workflows, intelligent automation, and AI governance.
Model-written summary · the original posting is authoritative