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# Systems Engineer - AI Code Metrics Daemon

- **Company:** Atlas Data Systems, L. L.C.
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Apple Mac Systems, Systems Engineering, Mobile Application Development, Cursor (Graphical User Interface Elements), Linux, Programming Tools, SQLite, Backend, Git, Atlassian Tools
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/atlassian/senior-systems-engineer-ai-code-metrics-daemon

## About the Role

* Strong systems engineer backend, OS internals, endpoint/agent software, or developer infrastructure
 * We use Go, but it's fine if that's not your background (what matters is comfort with concurrent, long-running, low-level software)
 * Experience building production systems that must be fast, reliable, and invisible to the user
 * High-agency, high-responsibility individuals with strong product intuition (you care how developers experience what you build)
 * Excited about developer tools and using data to understand how engineers actually work with AI coding agents
 * Bonus: Git internals, developer tools / dev infra, endpoint or monitoring agents (EDR, sync clients, telemetry agents), SQLite or embedded storage, or cross-platform native development

## Description

* Design reliable pipelines for capturing, classifying, storing, and shipping developer + agent activity from the endpoint
 * Work directly with Git internals (reflog, commit identity across history rewrites, blob-level attribution) to collect data without interrupting developers
 * Build and maintain integrations with coding agents (Cursor, Claude Code, Copilot, Codex, Gemini CLI, and more) via editor/CLI hooks
 * Own cross-platform behavior across macOS, Linux, and Windows, In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.


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