• Define and drive company-level technical strategy for critical systems, ensuring long-term innovation for Tableflow’s storage and metadata engines. • Architect and evolve a high-performance, metadata management system that supports low latency updates and efficient query planning. • Design and implement innovative strategies for table schematization, materialization, and compaction at a massive scale. • Build and maintain multi-tenant, highly available infrastructure for background computational tasks, ensuring the platform is optimized for scalability, reliability, and resilience. • Establish and evangelize engineering standards, architectural patterns, and technical frameworks adopted across the organization. • Partner with executives, product management, and engineering leaders to align technical vision with business objectives. • Mentor senior and staff-level engineers, growing future technical leaders and shaping a culture of engineering excellence and open-source contribution. • Lead contributions to relevant open-source projects like Apache Iceberg and represent Confluent externally through technical talks and thought leadership.

• Build end-to-end software that brings Cherry into more practices and launch new products beyond BNPL. • Make architectural decisions that shape Cherry's platform across frontend, backend, integrations, and infrastructure. • Define and implement observability, monitoring, and metrics systems that make our products safer, faster and more reliable for practices and patients. • Collaborate with product, design, data, and operations to rapidly deliver high-impact features and experiment toward measurable outcomes.

• lead the effort to deprecate legacy configuration bottlenecks • deliver a mature Configuration Lifecycle Management system • ensure zero-downtime updates for our FIs • tackle high-stakes problems in IAM and Tenant Management

• Develop & Implement: Design software solutions supporting RPA, AI, and healthcare automation. • Code Quality: Write clean, testable, and maintainable code, primarily in Python. • Integrate: Connect AI/ML models, APIs, and healthcare data systems (FHIR, HL7, EDI). • Collaborate: Partner with the team to define technical requirements and architecture. • Test & Deploy: Conduct unit/integration testing and support deployment via CI/CD and containerization. • Compliance: Maintain strict adherence to industry standards, including HIPAA and HITRUST.