Atlassian

Senior Systems Engineer — AI Code Metrics Daemon

Atlassian$146K — $230K *
US-Anywhere
+ 5 other locationsRemote
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong systems engineering background with experience in backend, OS internals, endpoint/agent software, or developer infrastructure.
  • Comfort with concurrent, long-running, low-level software, preferably with experience in Go.
  • Proven experience building fast, reliable production systems that integrate seamlessly into developer workflows.
  • Proactive individuals with a strong product intuition, focused on enhancing developer experience.
  • Genuine interest in developer tools and leveraging data to improve interactions with AI coding agents.
  • Bonus: Familiarity with Git internals, developer tools, endpoint/monitoring agents, SQLite or embedded storage, and cross-platform native development.

Responsibilities

  • Build systems to detect and attribute AI-generated code on a line-by-line basis within Git workflows.
  • Design reliable data pipelines for capturing and processing developer and AI agent activities.
  • Engage directly with Git internals to gather information without disrupting developers' workflows.
  • Develop and maintain integrations with various AI coding agents through editor or CLI hooks.
  • Ensure software behavior is consistent across macOS, Linux, and Windows platforms.

Benefits

  • Wide range of health and wellbeing resources.
  • Paid volunteer days to support community engagement.
  • Comprehensive perks aimed at supporting employees and their families.
Full Job Description
Overview

We9re building the observability layer for AI-assisted software development, measuring how much of an engineering org9s code is actually written by AI coding agents, and attributing every line back to the work that produced it. You9ll own major parts of a cross-platform endpoint agent end-to-end: architecture, implementation, and real-world deployment onto developer machines.

Responsibilities

What You9ll 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

What We9re Looking For

  • Strong systems engineer 6 backend, OS internals, endpoint/agent software, or developer infrastructure

  • We use Go, but it9s fine if that9s 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

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate9s 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 candidate9s 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

Qualifications

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 194,000 customers worldwide, including 85 of the Fortune 100, Atlassian is changing the way teams work. Our products help teams organize, discuss, and complete shared work. Atlassian has a unique business model that allows us to deliver software to teams of all sizes, from small startups to large enterprises. Our products are available on a subscription basis, with no upfront fees or long-term commitments. Atlassian was founded in 2002 and is headquartered in San Francisco, California.
Learn more about Atlassian
Size
6,433 employees
Market Cap
$31.9 billion
Industry
Net Income
-$1.1 billion
Founded
2002
5 Year Trend
+34.9%
Revenue
$1.8 billion
NASDAQ

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