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Design a High-Frequency Job Scheduler

Last updated: Apr 22, 2026

Quick Overview

This question evaluates competency in distributed systems design, scheduling semantics (including high-frequency and recurring jobs), durable job storage and consistency, priority-based dispatching, retry and deduplication mechanisms, failure recovery, scalability of worker pools, and monitoring/operational safety.

  • medium
  • Bytedance
  • System Design
  • Software Engineer

Design a High-Frequency Job Scheduler

Company: Bytedance

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

Design a distributed job scheduler that supports one-time and recurring jobs, including high-frequency tasks that may run every few seconds. The system should support priorities, retries, horizontal scaling, worker pools, and at-least-once delivery semantics. Discuss: - APIs and data model for scheduled jobs - How jobs are stored and made durable - How due jobs are discovered efficiently - Priority-based dispatch to workers - Retry handling, deduplication, and failure recovery - How to scale the scheduler and workers under heavy load - Monitoring and operational safety

Quick Answer: This question evaluates competency in distributed systems design, scheduling semantics (including high-frequency and recurring jobs), durable job storage and consistency, priority-based dispatching, retry and deduplication mechanisms, failure recovery, scalability of worker pools, and monitoring/operational safety.

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Bytedance logo
Bytedance
Apr 10, 2026, 12:00 AM
Software Engineer
Onsite
System Design
2
0
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Design a distributed job scheduler that supports one-time and recurring jobs, including high-frequency tasks that may run every few seconds. The system should support priorities, retries, horizontal scaling, worker pools, and at-least-once delivery semantics.

Discuss:

  • APIs and data model for scheduled jobs
  • How jobs are stored and made durable
  • How due jobs are discovered efficiently
  • Priority-based dispatch to workers
  • Retry handling, deduplication, and failure recovery
  • How to scale the scheduler and workers under heavy load
  • Monitoring and operational safety

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