Senior Software Engineer, Identity

Owns Attentive's first-party data collection platform, working across a JavaScript tag, Cloudflare Workers edge compute, and Java/Kotlin backend services. Builds agentic AI systems to diagnose and fix data collection gaps, and improves the event ingestion pipeline for reliability and observability. Requires 6+ years of full-stack experience with backend services, browser runtime behavior, and edge/serverless runtimes.

Builds identity and access management features, ensuring secure authentication and authorization across the platform to support compliance and security requirements.

This role designs and builds backend services and APIs for the Zeta Identity Graph, which manages a multi-terabyte profile store with single-digit millisecond latencies. The engineer will optimize event-driven pipelines processing billions of signals and deploy cloud-native services on EKS/Kubernetes. The position requires 5+ years of experience in backend/data engineering with strong skills in Python/Java/Scala, Kafka, and high-throughput NoSQL databases.

This role focuses on designing and maintaining identity and access management systems, including authentication, authorization, and single sign-on solutions. The engineer will implement identity lifecycle management, integrate with enterprise directories, and ensure compliance with security standards.

Manages strategic customer accounts in the East region, ensuring high retention and growth through proactive engagement and value realization. Develops relationships with key stakeholders, drives adoption, and identifies upsell opportunities.

Leads the customer support organization, overseeing strategy, operations, and team performance to ensure high-quality service delivery. Responsible for scaling support processes, driving customer satisfaction, and aligning support initiatives with business goals.

Leads the applied science and data science function, driving the development and deployment of machine learning models to solve business problems. Sets the technical vision, manages a team of data scientists, and ensures alignment with product and engineering priorities.