Teams at Ridgeline

Design and evolve extensible enterprise platform frameworks (search, audit, custom fields). Lead architecture for data models, APIs, event-driven workflows, indexing pipelines, and operational patterns. Drive scalable, secure, performant solutions, participate in on-call and production support, use AI tools responsibly across the SDLC, and mentor engineers while collaborating across product and platform teams.

Lead design and implementation of a next-generation performance and analytics platform. Build cloud-native services on AWS/Azure/GCP, optimize OLAP/columnar queries, model analytical data, enable large-scale analytics, and create developer automation and tests. Collaborate across design, strategy, and engineering to deliver scalable, production-grade solutions for investment performance and attribution reporting.

Lead FinOps and engineering operations analytics: build cost, unit economics, and forecast models; create allocation methodologies, dashboards, and self-service analytics; analyze variances; drive optimization recommendations; partner with Engineering and Finance to inform investment and operational decisions.