Backend Engineer – Real-Time, Large-Scale Systems

TikTok

Singapore

On-site

SGD 120,000 - 190,000

Full time

9 days ago

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Job summary

TikTok is looking for passionate engineers to join the team building real-time, high-performance distributed systems behind TikTok LIVE Foundation subscriptions. You will work with product managers to deliver the best subscription experience and boost creator-fan engagement.

Join a global tech company with a focus on scalable architecture, reliability, and fast iteration. You will contribute to critical product features and collaborate across teams to ship impactful enhancements at scale.

Qualifications

  • Proficient in at least one of Go, Python, Java or C++.
  • Experience building scalable, distributed, mission-critical systems.
  • Deep understanding of computer architecture, data structures and algorithms.
  • Knowledge of databases and messaging frameworks like MySQL, Redis and Kafka.

Responsibilities

  • Plan and lead large-scale technical projects to lay the foundation for iterative development and scale of early products.
  • Develop robust, efficient technology that serves 1 billion users.
  • Improve system design and architecture for high stability, performance, and reliability.
  • Collaborate with cross-functional teams to deliver high-quality work in rapid product development.
  • Contribute to engineering strategy, tooling, processes and culture to improve R&D quality, efficiency and experience.

Skills

Go
Python
Java
C++
Distributed systems
Algorithms

Tools

MySQL
Redis
Kafka

Job description

TikTok is looking for passionate engineers to join the team building real-time, high-performance distributed systems behind TikTok LIVE Foundation subscriptions. You will work with product managers to deliver the best subscription experience and boost creator-fan engagement.

Join a global tech company with a focus on scalable architecture, reliability, and fast iteration. You will contribute to critical product features and collaborate across teams to ship impactful enhancements at scale.

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