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Site Reliability Engineer, AML Platform

TikTok USDS Joint Venture · Sydney

New
Onsite 🇬🇧 English
Linux C++ Python Go TensorFlow PyTorch MXNet PaddlePaddle

Job description

About the role

The Site Reliability Engineer will work on the Applied Machine Learning (AML) platform, ensuring highly available, scalable, and fault‑tolerant AI/ML systems for TikTok users worldwide. The role involves close collaboration with software engineering teams and participation in on‑call rotations.

Key responsibilities

  • Design, build, and maintain highly available, scalable, and fault‑tolerant systems.
  • Develop and maintain automated monitoring, alerting, and incident response pipelines.
  • Collaborate with software engineering teams to embed reliability, scalability, and performance into applications.
  • Participate in on‑call rotations, conduct root‑cause analysis, and implement preventative measures.

Required profile

  • Expertise in analyzing and troubleshooting Linux‑based distributed systems.
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience.
  • Experience programming in at least one language such as C, C++, Python, or Go.
  • Strong understanding of data structures, algorithms, and relational database systems.

Required skills

  • Linux
  • C
  • C++
  • Python
  • Go
  • Relational databases
  • TensorFlow
  • PyTorch
  • MXNet
  • PaddlePaddle

Questions fréquentes

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Published 14 hours ago

Expires 1 month from now

7 views · 0 interested

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TikTok USDS Joint Venture

Sydney