• Design, implement, and own microservices in Go and Python with clear APIs and SLAs • Model domain data and implement performant data access patterns on MongoDB • Develop internal and public APIs that power our product and partner integrations • Implement observability across services: structured logging, tracing, metrics • Ensure security, reliability, and cost efficiency across deployments (AWS/GCP) • Collaborate with product and frontend to deliver features end-to-end • Partner with AI engineers to integrate LLM-based capabilities and analytics pipelines into backend services • Contribute to CI/CD, testing strategy, and deployment automation

• 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