Job Description:
• Lead engineering teams building the consumer health experience on the Health100 platform
• Identify, prioritize, shape, and execute complex platform initiatives
• Design, oversee, and evolve scalable distributed systems, APIs, and AI-enabled platform capabilities
• Recruit, mentor, and retain high-performing engineers
• Foster innovation, continuous learning, and modern engineering and AI-assisted development practices
• Lead engineering initiatives from strategy and prioritization through delivery on complex, high-visibility projects
• Drive measurable business outcomes
• Establish KPIs and OKRs, proactively mitigate risks, and ensure operational excellence
• Promote secure, compliant, and responsible use of AI technologies
• Partner with engineering, product, design, security, analytics, and business teams
• Guide integration and validation of complex technology solutions
• Leverage Java, distributed systems, cloud platforms, Generative AI, machine learning, and intelligent automation
Requirements:
• 8+ years of software engineering experience
• 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, with GCP preferred
• Ability to guide architecture decisions and evaluate engineering tradeoffs
• Proven ability to lead 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, intelligent automation, or data-driven solutions
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
• High School diploma plus 4 years of relevant work experience as an alternative educational pathway
• Experience in Healthcare, Retail, or Pharmacy domains preferred
• Experience with Java, microservices, and end-to-end software delivery preferred
• Experience with intelligent orchestration platforms, multi-agent workflows, or knowledge-driven AI systems preferred
• Familiarity with LLM orchestration, Model Context Protocol, agentic workflows, vector search, RAG, and AI governance preferred
• Experience with CI/CD pipelines, Kubernetes/Docker, observability, and DevOps practices preferred
Benefits:
• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Retirement savings options
• Wellness programs
• Other resources supporting physical, emotional, and financial well-being
• CVS Health bonus, commission or short-term incentive program
• Equity award program