Staff SW Systems Engineer -Agentic Product Engineer-10310

You are a full-stack builder who takes a spec and owns it end-to-end: design, implementation, testing, and deployment. You work with AI coding agents as your primary execution tool — not autocomplete, but agentic workflows where you direct, evaluate, and iterate on agent-generated output to ship production-grade software faster and with higher quality. This is not a specialization role. You own your surface from inception to production. Backend APIs, data pipelines, lightweight frontends, GitHub Actions workflows, cloud deployment — you handle the full lifecycle without handoffs. You will build internal AI-powered tools and systems that help Extreme’s engineering and business teams do their best work. This includes AI workflow infrastructure: Automation, integrations, and governance harnesses that enable teams to adopt and operate AI-assisted development workflows — connecting GitHub, Jira, and Confluence into structured, repeatable pipelines.

Responsibilities

Take a spec and own it end-to-end: design, implementation, testing, and deployment; Work with AI coding agents as primary execution tool to direct, evaluate, and iterate on agent-generated output; Build internal AI-powered tools and systems for engineering and business teams; Build AI workflow infrastructure including automation, integrations, and governance harnesses connecting GitHub, Jira, and Confluence; Handle full lifecycle from inception to production including backend APIs, data pipelines, lightweight frontends, GitHub Actions workflows, and cloud deployment

Requirements

8 to 14 years experience; Python; TypeScript or JavaScript; AI coding agents (Claude Code, Copilot, Cursor, Anthropic SDK or Microsoft Agent Framework or LangGraph); MCP (Model Context Protocol)