Start here. This is the direct spoken answer to practice first.
Why this question matters
Recurring jobs become production risks when multiple instances run them, retries duplicate effects, or missed executions stay invisible. Scheduling, durable execution, idempotency, and operator control need explicit boundaries.
I would define each recurring job with a schedule, owner, purpose, timeout, and expected volume. The job runner would record runs with started time, completed time, status, duration, and failure reason. If the app runs on multiple instances, I would use a distributed lock, queue, or scheduler service so the same job does not run unexpectedly in parallel. Each job would be idempotent where possible.