Senior Backend Software Engineer, Citizen Health

• You are a passionate builder and problem solver who thrives in dynamic, fast-moving environments
• You value collaboration but are comfortable taking ownership and working independently
• You approach complex problems with creativity and empathy, always keeping the needs of patients and users front and center
• You enjoy working at the intersection of technology and healthcare and are excited about making a meaningful difference in people’s lives
• 5+ years of experience in backend development, with experience building scalable, distributed systems
• Strong proficiency in one or more modern programming languages (e.g., Python, Node.js, Java)
• Solid understanding of RESTful API design and microservices architectures
• Experience with cloud platforms (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes)
• Strong experience in system design, backend services, data processing, and analytics
• Solid understanding of backend observability (monitoring, logging, alerting, autoscaling)
• Hands-on experience with relational and NoSQL databases
• Strong debugging, problem-solving, and communication skills

Desirable

• We're looking for a Senior Backend Engineer to design and build scalable backend systems that drive our patient-focused platform
• You'll help develop the core infrastructure that enables seamless data integration, analysis, and AI-powered insights
• In this role, you’ll work with healthcare standards like FHIR and cutting-edge AI technologies to build solutions that support rare disease research and improve patient care
• Your contributions will help transform complex health data into actionable insights and ensure smooth data exchange across patients, providers, and researchers
• Design and implement high-performance, scalable backend solutions using modern technologies, Develop and maintain RESTful APIs and microservices
• Develop backend services and processing pipelines that handle large volumes of healthcare data efficiently
• Integrate and optimize AI components, including Large Language Models (LLMs), to power intelligent features and insights
• Collaborate with frontend, data, and AI teams to deliver seamless, data-rich user experiences
• Implement observability for services and data pipelines to enable effective diagnostics and surface performance insights through monitoring, logging, alerting, and autoscaling
• Stay up to date with backend best practices, emerging AI tools, and trends in healthcare interoperability and AI
• Collaborate to foster team growth through shared learning and advancement in backend and AI development practices