Design a Task Scheduling for Twilio

Last updated: March 9, 2026

Quick Overview

Design a event-driven task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Twilio
System Design
Software Engineer
Twilio
March 9, 2026
Software Engineer
Onsite
System Design
Hard

99

14

4,864 solved


Design a event-driven task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Twilio asks this during the Onsite to assess your understanding of the full ML lifecycle. They want to see how you translate a business problem into an ML objective, design the feature pipeline, and plan for model monitoring and retraining.

What the Interviewer Expects
  • Design the full ML lifecycle from data collection to model monitoring
  • Address cold start, exploration/exploitation, and model freshness
  • Discuss multi-objective optimization and ranking systems
  • Plan for model debugging, fairness, and bias mitigation
  • Design the feature store and training pipeline for scale
  • Address model versioning, canary deployments, and rollback strategies
  • Discuss the data flywheel and long-term system evolution
Key Topics to Cover
Data collection and labeling strategy
ML objective formulation and metric selection
Monitoring and model degradation detection
Feedback loops and model retraining
A/B testing and experimentation
Online vs offline evaluation
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How would you ensure fairness and reduce bias in the model?
  • How would you debug a model that works well offline but poorly online?
  • What would you do if model performance degrades over time?
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Sample Answer
Requirements
  • Functional Requirements:
    • Schedule tasks for Twilio services (e.g., SMS, voice calls) based on predefined user criteria.
    • Allow users to define task parameters such as frequency, time zone...
Capacity Estimation

Assuming Twilio handles about 1 billion messages a day (SMS, calls, etc.) and that 10% of these require task scheduling:

  • Daily Task Requests: 100 million requests.
  • Peak Load Estimation: If...

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