Design Jira bug-to-team classification system

Q: Design Jira bug-to-team classification system

This is a ML System Design interview question from Atlassian for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

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Problem

Design a system that automatically classifies incoming Jira bug tickets into the most appropriate owning team, and produces a report for customer companies.

Assume:

Each ticket includes fields like title, description, component/service, logs/stack traces, priority, and customer/company.
Historically, tickets were assigned to teams by humans; that history can be used as labels.
The system should suggest or auto-route tickets to teams, while allowing overrides.
The system should support reporting (e.g., per customer: bug counts by team/category over time).

Deliverables

Requirements and success metrics.
Data sources and labeling strategy.
Model approach (baseline to advanced) and feature design.
Online serving architecture (routing + human-in-the-loop).
Training pipeline, evaluation, and monitoring for drift.
Reporting layer for customer-facing analytics.

Design Jira bug-to-team classification system

Problem

Deliverables

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