Lead design, reliability, and scalability of data infrastructure and pipelines using a modern stack (Snowflake, DBT, Airflow). Build reusable data models and semantic layers, implement data governance, observability, and SLAs, partner with cross-functional teams, build Reverse ETL and APIs, and support marketing and ML consumption.

Own end-to-end production ML systems for search, recommendations, and ranking: architecture, training pipelines, inference, deployment, monitoring, drift detection, and retraining. Partner with data, product, and backend teams to ship reliable, low-latency ML-driven product experiences and set standards for ML infrastructure and model health.

Senior Backend Software Engineer responsible for extending APIs and backend systems, working with product and design, interfacing with PostgreSQL, improving testing, and addressing architecture, security, anti-fraud, performance, scalability, personalization, and payments. Mentor peers, participate in on-call rotation, coordinate across teams, and use LLMs where appropriate to improve product and development workflows.