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Build and operate high-scale JVM-based backend microservices using Java and Kotlin. Own services across architecture, implementation, deployment, monitoring, on-call support, and continuous improvement. Develop event-driven Kafka systems, apply concurrency and performance optimization, design resilient APIs, and operate containerized services with Kubernetes and CI/CD. Improve observability, reliability, automation, and developer productivity while collaborating cross-functionally, mentoring peers, and contributing to technical standards.

Own complex, ambiguous product design problems across the UX Platform from framing through execution. Design coherent AI-native experiences, evolve AI-assisted design workflows, establish documentation and design standards, and strengthen the connection between product design and the design system. Partner with Product and Engineering, deputize for the Design Director, influence strategy, mentor designers, and raise the organization’s craft and quality bar.

Design, build, and operate a large-scale Kubernetes platform: ensure high availability and performance, automate platform delivery, develop custom Kubernetes Operators in Go, manage production incidents, and run Day 1/Day 2 cluster operations with Helm and GitOps tooling.

Build, maintain, and scale backend services for a high-volume distributed ingest and processing pipeline. Integrate AI agents into engineering workflows, create automation and tooling, collaborate with product teams, participate in on-call rotations, and champion observability and continuous workflow innovation.