Senior Systems Engineer - AI Code Metrics Daemon

Atlassian
Salt Lake City, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 230K

Job location

Remote
Salt Lake City, United States of America

Tech stack

Microsoft Windows
Artificial Intelligence
Apple Mac Systems
Systems Engineering
Mobile Application Development
Cursor (Graphical User Interface Elements)
Linux
Programming Tools
SQLite
Backend
GIT
Git Flow

Job description

What You'll Do * Build the core systems that detect and attribute AI-generated code at the line level across real Git workflows (rebases, cherry-picks, resets, and all)

  • 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

Requirements

Do you have experience in macOS?, 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

Benefits & conditions

3.83.8 out of 5 stars Salt Lake City, UT 84044 Remote $146,700 - $230,300 a year, At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $176,400 - $230,300

Zone B: $159,300 - $207,975

Zone C: $146,700 - $191,525 Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $176,400 - $230,300

Zone B: $159,300 - $207,975

Zone C: $146,700 - $191,525

About the company

Atlassian's mission is to unleash the potential of every team. We build agile, DevOps, IT service management, and work management software to help teams organize, discuss, and complete shared work. Over 300,000 companies worldwide rely on Atlassian to work better together and deliver results. With Atlassian Rovo, teams can now find, learn from, and act on organizational knowledge faster using AI-powered search, chat, and automation agents—boosting productivity and collaboration across all their tools.

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