• Design, architect, and build high-throughput, low-latency backend systems for real-time location processing, geofencing, and location intelligence at scale (billions of events/day) • Take technical ownership of critical subsystems from inception to production, driving architectural decisions, managing dependencies, and coordinating across multiple teams • Lead the design and development of geospatial libraries, location algorithms, and platform services that other teams build on—establishing standards and best practices for location data processing across the organization • Architect distributed systems using Java and Go, leveraging Kafka and NATS for event streaming, real-time data pipelines, and inter-service communication • Drive technical design specifications, translate architectural decisions into actionable engineering plans, and mentor engineers on distributed systems patterns and location platform architecture • Identify and address technical debt, scalability bottlenecks, and engineering process deficiencies—proactively improving system reliability, observability, and operational excellence • Collaborate across teams (mobile, firmware, data science, product) to define APIs, refine technical requirements, and ensure alignment with long-term platform goals • Evaluate and adopt new technologies and best practices for geospatial computing, distributed systems, and real-time data processing • Participate in on-call rotations, lead incident response for location platform systems, and continuously improve system resilience • Provide technical leadership and mentorship across teams, conducting thorough code reviews, sharing knowledge, and raising the engineering bar