Design, build, test, and operate real-time streaming data solutions using Spark and Flink. Develop agentic AI workflows, tool integrations, orchestration capabilities, backend services, MCP systems, and secure APIs. Integrate AI tools with development platforms, apply large-scale telemetry processing, contribute to architecture decisions, and improve engineering and operational practices.

Build and operate AI-powered developer tools, agentic workflows, reusable skills, integrations, orchestration capabilities, backend services, and APIs. Integrate AI systems with source control, CI/CD, issue tracking, documentation, and developer environments. Apply testing, evaluation, monitoring, security, and feedback practices to non-deterministic AI systems while collaborating with developers and contributing to platform architecture and engineering processes.

Manage and grow an Endpoint engineering team to build and scale backend infrastructure that ingests, aggregates, and stores agent-collected telemetry. Collaborate with product and cross-functional teams to deliver assurance use cases, drive data processing and availability at scale, and support engineers' career development.