Lead development of scalable, low-latency Maps API services and distributed ETL pipelines. Design systems, make architectural decisions, build and deploy microservices, monitor and troubleshoot production systems, and support continuous delivery. Mentor engineers through reviews and guidance, reduce technical debt, improve performance, document systems, and participate in on-call support. The role requires strong backend engineering experience, AWS expertise, mapping or geospatial product experience, and proficiency in Python and NodeJS.

Own the technical design, delivery, evaluation, and reliability of multi-component AI systems. Build data pipelines, evaluation frameworks, model-tool boundaries, feedback loops, and internal development harnesses. Ship LLM-backed products, optimize latency and cost, assess external models and datasets, and support APIs, SDKs, and agent-oriented applications. Participate in on-call rotation, conduct code and design reviews, and mentor engineers on evaluation practices.