Lead the architecture and hands-on development of a scalable, event-driven orchestration platform for real-time AI messaging decisions. Build and operate fault-tolerant distributed systems, own components through deployment and incident response, drive design reviews and technical decisions, collaborate across product, machine learning, and data teams, and mentor engineers while ensuring operational excellence.

Design, build, and operate scalable backend services and third-party integrations supporting email, mobile, and push messaging. Responsibilities include architecture, coding, code review, debugging, production support, reliability engineering, monitoring, incident response, and technical leadership. The role partners with product, engineering, and external vendors to manage integrations, rate limits, retries, partial failures, and evolving platform requirements.

Lead the architectural evolution of a large-scale recommendations platform into a distributed architecture. Design, build, operate, and optimize fault-tolerant backend services supporting AI-driven personalization. Collaborate with machine learning engineers and product stakeholders, own systems through deployment and incident response, champion engineering practices, and mentor team members.