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Spring Health is a global mental health platform on a mission to eliminate barriers to mental health. The company operates an AI-native platform delivering personalized support through self-guided tools, coaching, therapy, medication management, and specialty care, reaching over 170 million people worldwide through employers, health plans, and partners.
Reporting to the Engineering Manager for Agentic Care, this Senior Software Engineer will develop AI-driven features that improve how members discover and engage with mental health care. You'll own the technical design and delivery of full-stack agentic AI systems, integrating emerging AI technologies into the member experience.
Key responsibilities include: designing and building scalable full-stack services using Ruby on Rails and Python; writing production-ready code while maintaining high quality standards; leading technical design reviews and producing technical designs as primary author; using AI tools (Claude, Copilot) to support design, exploration, and code reviews while critically evaluating outputs; identifying repeatable tasks for AI acceleration and guiding junior engineers on responsible AI usage; leading multi-person, multi-sprint projects with cross-functional coordination; raising and addressing security concerns and performance implications; driving engineering best practices within the team; mentoring earlier-career engineers through code reviews, pairing, and coaching; and owning operational excellence through logging, alerting, monitoring, and incident investigation.
Success in this role means delivering clean, efficient, scalable code that serves as a model for the team; leading high-impact projects from ideation to delivery with significant hands-on contributions; actively using AI to accelerate work while guiding teammates responsibly; designing architectures that support growth with high uptime and low defect rates; consistently shipping high-quality projects on time; elevating team standards through strong contributions and proactive tech debt identification; and fostering a culture of learning and accountability.
The role is hybrid based in San Francisco (44 Montgomery Street) with expectations to be in office 2-3 days per week. Candidates must be based in the SF Bay Area or able to relocate independently within 90 days. Occasional travel for team on-sites is required.
