Staff Software Engineer

Cohere Health is seeking a Staff Software Engineer to lead the architecture, development, and scaling of highly available AI-powered healthcare products. The role sets technical direction across teams, contributes hands-on to production engineering, and collaborates with ML, data science, product, and architecture teams.

Responsibilities:

• Technical Leadership: Provide technical leadership across architecture, system design, and mentor junior engineers for building scalable SaaS products
• Platform Ownership: Lead the development and enhancement of Cohere’s AI-powered  applications and platforms, ensuring that it is highly configurable, and optimized for performance
• Data & Retrieval Architecture: Design data and retrieval architectures that give AI agents the right context, across diverse healthcare sources
• Hands-On Engineering: Design, review, and own high-quality production code — actively contributing alongside the team, leading releases, production deployments, reducing developer development friction and on-call support
• NFR, Security & Compliance:  Drive technical strategy to ensure the team's designs consistently address non-functional requirements — observability, instrumentation, performance, and operational readiness that incorporate security and privacy regulations
• Cross-Functional Collaboration: Work closely with ML/DS teams, product teams, and architects to understand requirements and ensure systems meet business needs
• Agile Development: Contribute to sprint planning, execution, and retrospectives, driving efficiency and velocity within the engineering team and collaborating closely with stakeholders to align with product goals and business priorities

Requirements:

• 12+ years in the software development lifecycle, with progression to complex, high-impact cloud-native system design
• Expertise in auth/authz frameworks, secure API design, access control, and automated testing
• Strong system design, observability, and production operations skills
• Fullstack expertise in modern languages, event-driven systems, and CI/CD
• Experience designing data systems/pipelines for analytical and AI workloads, with strong data modeling fundamentals
• Track record shaping engineering standards, mentoring engineers, and communicating strategy across technical and non-technical audiences
• Bachelor's degree in Computer Science, Software Engineering, or related field
• IaC a plus
• AI architectures (multi-agent, RAG, evaluation frameworks) a plus
• Healthcare tech, health plan, or Payment Integrity experience a plus
• Healthcare interoperability standards and clinical ontologies a plus