Senior Software Engineer - Backend/Infra [NYC or SF]

• Daily catered lunch and dinner
• Mental health support and wellness coaching
• Flexible wellness stipend for fitness, therapy, or personal growth

Growth & Development

• Annual learning budget for courses, books, or conferences
• Conference attendance budget for professional development
• Annual team offsite
• Academic collaboration opportunities
• Unlimited PTO

• Experience in a regulated or high-reliability domain (healthcare, finance, legal)
• High-throughput or low-latency system design
• Event streaming and message queues
• Experience with production AI or ML systems

Pulled from the full job description

• Vision insurance
• Dental insurance
• Unlimited paid time off, * You’ve built and operated production backend systems at scale and owned the outcome
• You’re strong with concurrency, distributed systems, and service design
• You prefer simple, maintainable solutions to hard problems
• You debug well across services, queues, and databases
• You’re low ego, direct, and hold yourself to a high bar
• You can work on site in New York City or San Francisco

• Patients Win, We Win If patients aren’t getting better care, we haven’t earned the right to scale. Every internal decision gets pressure-tested: does this make patients’ lives better? If we can’t draw the line, we question why we’re doing it.

• High Standards, High Care We hold a high bar for the team because patients are counting on us to get this right. But high standards only work with genuine investment in each other. You can take risks, admit mistakes, and challenge ideas-not despite our standards, but because of them.

• Thoughtful Urgency We move fast by default, but speed without judgment is recklessness. The discipline is knowing which decisions are reversible vs. not. In healthcare AI, the companies that win will be fast everywhere they can be and careful everywhere they must be. We build the muscle to do both.

• Intensely Measured We instrument patient outcomes, provider ROI, system performance, and clinical accuracy. But data without action is surveillance. Every metric should have an owner, a threshold, and a response plan. If we’re measuring something but never acting on it, we stop measuring it.