• Solve a dynamic set of user and infrastructure problems • Ship new product launches and platform capabilities • Design reusable services and abstractions • Improve monetization features and backend reliability • Evolve a legacy codebase

• Responding to customer queries in a timely & effective manner via ZenDesk or other customer support tools • Documenting & logging issues (as well as customer compliments & complaints) • Working with customers to help them go through our application flow when required • Tracking customer experiences across online & offline channels using logs, dashboards, and CRM systems

• Engineer robust solutions for data processing challenges • Develop and maintain data scraping platforms • Conduct research and technical investigations • Collaborate with a large team to improve data quality

• Design and implement high-performance, scalable Python microservices and APIs that support our real-time AI agent framework • Build resilient distributed systems that maintain high availability and low latency at scale, supporting tens of thousands of concurrent connections • Architect robust data storage solutions across SQL, NoSQL, in-memory stores (Redis), and blob storage, understanding when to use each and how to orchestrate them • Implement message queuing systems and event-driven architectures for reliable inter-service communication • Build and maintain integrations with Epic EHR and other healthcare systems • Ensure HIPAA compliance and security in all system designs • Create monitoring and observability systems to ensure platform reliability • Take end-to-end ownership of backend features from design through deployment • Collaborate effectively with cross-functional teams through technical discussions and code reviews