Senior Manager - Software Engineering (Health100 Platform)

CVS Health•Washington, DC

7d•$106,605 - $260,590•Remote

About The Position

The Senior Manager, Software Engineering will lead engineering teams building a consumer health experience on the Health100 platform. The role focuses on identifying, prioritizing, shaping, and executing complex platform initiatives, driving innovation, managing cross-functional teams, and delivering scalable cloud-native and AI-enabled solutions that improve consumer experiences and business outcomes. The position is part of an engineering organization delivering technology solutions using Java, distributed systems, cloud platforms, and AI-powered capabilities. The Senior Manager will guide the integration and validation of complex technology solutions, drive engineering excellence, and use emerging technologies such as Generative AI and intelligent automation to accelerate innovation and efficiency. The role is remote eligible within the United States, with preference for candidates close to CVS Health’s Woonsocket, Rhode Island headquarters.

Requirements

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 is preferred.
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 using AI-powered technologies, large language models (LLMs), intelligent automation, or data-driven solutions to improve business outcomes.
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience. Equivalent experience may include a high school diploma plus 4 years of relevant work experience.

Nice To Haves

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 use 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.
GCP cloud development experience.

Responsibilities

Design, oversee, and evolve scalable distributed systems, APIs, and AI-enabled platform capabilities to meet current and future business needs.
Recruit, mentor, and retain high-performing engineers while fostering innovation, continuous learning, and adoption of modern engineering and AI-assisted development practices.
Lead engineering initiatives end-to-end, from strategy and prioritization through delivery, for complex, high-visibility projects and drive measurable business outcomes.
Establish KPIs and OKRs, proactively mitigate risks, ensure operational excellence, and promote secure, compliant, and responsible use of AI technologies.
Partner with engineering, product, design, security, analytics, and business teams.
Stay current on emerging technologies, including Generative AI, machine learning, and intelligent automation.
Guide the integration and validation of complex technology solutions and drive engineering excellence.