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patricio0312rev

background-jobs-designer

by patricio0312rev

Comprehensive library of +100 production-ready development skills covering every aspect of modern software engineering. From project setup to production deployment, from security hardening to performance optimization.

6🍴 0📅 Jan 19, 2026

SKILL.md


name: background-jobs-designer description: Designs background job processing systems with queue integration (BullMQ/Celery), job definitions, retry policies, exponential backoff, idempotent execution, and monitoring hooks. Use when implementing "background jobs", "task queues", "async processing", or "job workers".

Background Jobs Designer

Design reliable background job processing with retries and monitoring.

Queue Integration

BullMQ (Node.js):

import { Queue, Worker } from "bullmq";

const emailQueue = new Queue("email", {
  connection: { host: "localhost", port: 6379 },
});

// Add job
await emailQueue.add(
  "send-welcome",
  {
    userId: "123",
    email: "user@example.com",
  },
  {
    attempts: 3,
    backoff: { type: "exponential", delay: 2000 },
  }
);

Celery (Python):

from celery import Celery

app = Celery('tasks', broker='redis://localhost:6379')

@app.task(bind=True, max_retries=3)
def send_email(self, user_id, email):
    try:
        # Send email
        pass
    except Exception as exc:
        raise self.retry(exc=exc, countdown=60)

Job Definitions

export interface Job {
  id: string;
  type: string;
  payload: unknown;
  attempts: number;
  maxAttempts: number;
  createdAt: Date;
  processedAt?: Date;
  failedAt?: Date;
  error?: string;
}

export const JOB_TYPES = {
  SEND_EMAIL: "send-email",
  PROCESS_PAYMENT: "process-payment",
  GENERATE_REPORT: "generate-report",
  SYNC_DATA: "sync-data",
} as const;

Retry Strategy

// Exponential backoff
const RETRY_CONFIG = {
  maxAttempts: 5,
  delays: [
    1000, // 1 second
    5000, // 5 seconds
    30000, // 30 seconds
    300000, // 5 minutes
    1800000, // 30 minutes
  ],
};

// Worker with retry
const worker = new Worker("email", async (job) => {
  try {
    await sendEmail(job.data);
  } catch (error) {
    if (job.attemptsMade < RETRY_CONFIG.maxAttempts) {
      throw error; // Will retry
    }
    await handleFailedJob(job, error);
  }
});

Idempotent Jobs

// Track processed jobs
export const processJob = async (job: Job) => {
  // Check if already processed
  const processed = await db.query(
    "SELECT 1 FROM processed_jobs WHERE job_id = $1",
    [job.id]
  );

  if (processed.rows.length > 0) {
    console.log("Job already processed");
    return; // Idempotent
  }

  await db.transaction(async (trx) => {
    // Mark as processed
    await trx("processed_jobs").insert({ job_id: job.id });

    // Do work
    await performWork(job, trx);
  });
};

Monitoring

// Job events
worker.on("completed", (job) => {
  metrics.increment("jobs.completed", { type: job.name });
});

worker.on("failed", (job, err) => {
  metrics.increment("jobs.failed", { type: job.name });
  logger.error("Job failed", { jobId: job.id, error: err });
});

worker.on("stalled", (jobId) => {
  metrics.increment("jobs.stalled");
  logger.warn("Job stalled", { jobId });
});

Best Practices

  • Jobs should be idempotent
  • Use exponential backoff for retries
  • Set reasonable timeouts
  • Monitor queue depth
  • Dead letter queue for failed jobs
  • Log job start/completion
  • Graceful shutdown handling

Output Checklist

  • Queue setup (Redis/RabbitMQ)
  • Job type definitions
  • Retry policy with backoff
  • Idempotency tracking
  • Error handling
  • Monitoring/metrics
  • Dead letter queue
  • Graceful shutdown

Score

Total Score

70/100

Based on repository quality metrics

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+10
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0/15
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