Sage Care is transforming healthcare with AI-powered solutions to streamline care navigation and optimize care delivery for health systems. The business problem is to make healthcare more accessible, efficient, and equitable by optimizing engineering for matching and scheduling.
Requirements
- 5+ years of experience* in backend or systems engineering in production environments.
- Strong experience with Java* or another high level programming language (e.g. Python, Go, C++, or Rust).
- Demonstrated experience building low-latency, high-throughput, and high-reliability backend systems.
- Familiarity with cloud environments (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
- Experience with combinatorial optimization and constraint-solving algorithms using optimal dispatch, routing, linear and mixed integer linear programming, or metaheursitic algorithms (e.g. evolutionary algorithms).
- Familiarity with optimization libraries such as OR-Tools, Gurobi, CPLEX, or similar tools.
- Experience with real-time systems where reliability, interpretability, and resilience are critical.
Responsibilities
- Design and build backend services that support scheduling, matching, and resource-allocation optimization for patient care pathways.
- Formalize operational requirements like clinical constraints, time windows, continuity rules, and workforce capacity into parameters for well-structured optimization problems.
- Implement high-performance algorithms (e.g., job scheduling algorithms, optimal matching, constraint solving) and integrate them into production services.
- Optimize for performance: reduce latency, improve throughput, increase reliability, and ensure consistent SLA adherence.
- Build well-structured APIs, data models, and distributed service components that support real-time decisioning.
- Profile, benchmark, and tune services to handle the scale and unpredictability of healthcare operations.
- Help build observability into all systems with a strong attention to reliability.
Other
- Hybrid: Tuesday through Thursday onsite
- Bachelor’s or Master’s degree in Computer Science, Engineering, Operations Research, or a related field.
- Excellent communication skills and ability to collaborate with cross-functional teams in a domain-heavy environment.
- Background in logistics, scheduling, workforce optimization, or healthcare operations.
- Hybrid work culture with deep collaboration across engineering, product, and clinical teams.
