Ok, great. You can also access these tables via APIs and SQL queries if required.

Here are some relevant links if you are interested...

https://docs.databricks.com/aws/en/admin/system-tables/jobs

https://docs.databricks.com/aws/en/dev-tools/bundles/resources

And here is a sample SQL script... gives you the latest version of the job and it's description. 

SELECT
workspace_id,
job_id,
name,
description
FROM system.lakeflow.jobs
QUALIFY ROW_NUMBER() OVER (PARTITION BY workspace_id, job_id ORDER BY change_time DESC) = 1;

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