Senior Staff Engineer (Developer Infrastructure & Experience)

Join Hippocratic AI as a Senior Staff Software Engineer, where you'll define engineering standards, CI/CD infrastructure, and developer platforms for a safety-critical healthcare AI company. You'll architect foundational systems for reliable, testable, and incrementally deployable software, and set direction across the full software delivery lifecycle. This is a senior individual contributor role in Engineering, reporting to the VP of Engineering.

• Definir los estándares de ingeniería y la calidad en toda la organización, estableciendo y manteniendo las mejores prácticas para la estructura del código, la arquitectura de pruebas, la observabilidad y el despliegue.
• Diseñar e implementar estrategias de implementación escalonada, como implementaciones canarias, lanzamientos blue/green y entrega progresiva, que brinden al equipo confianza para enviar frecuentemente sin arriesgar la confiabilidad en un entorno clínico.
• Multiplicar la velocidad del desarrollador a través de mejoras sistemáticas en las herramientas, identificando y eliminando la fricción en todo el ciclo de vida del desarrollo.
• Demonstrated impact improving developer experience and internal tooling
• BS in Computer Science or equivalent
• Familiarity with ML infrastructure, model serving, or LLM evaluation pipelines
• Experience building engineering culture at a high-growth startup
• Background in platform engineering or DevEx
• Experience in healthcare, life sciences, or a regulated, safety-critical industry
• 12+ years of software engineering experience with production ownership at scale across multiple organizations
• Proven track record across multiple technology generations with clear, transferable judgment
• Strong communicator across engineering, product, and clinical stakeholders
• Committed to software safety, engineering rigor, and patient-centered outcomes
• Deep backend fluency in Python, Go, or Java; comfortable across the full stack
• Hands-on CI/CD ownership — building, operating, and improving pipelines in production
• Strong command of software design: modularity, testability, separation of concerns, dependency inversion
• Fluency with AI-assisted development tools — Copilot, LLM-based code generation, automated testing
• Production experience with feature flags, canary deployments, blue/green, and progressive rollouts
• Hands-on observability experience: structured logging, distributed tracing, SLO design