Graduate Site Reliability Engineer - Technical Infrastructure - 2026 Start at TikTok
Sydney, New South Wales, Australia -
Full Time


Start Date

Immediate

Expiry Date

27 Jun, 25

Salary

0.0

Posted On

27 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Kubernetes, Programming Languages, Spark, C++, Python, Java, C, Storage, Big Data, Design Patterns

Industry

Information Technology/IT

Description

Responsibilities
We are looking for talented individuals to join us in 2026. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.
Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates’ jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
About the Team
We manage critical infrastructure systems across storage, computing, and databases. As a leading SRE team at TikTok’s Technical Infrastructure, we solve complex scalability challenges through expert system design and automation. You’ll work independently on diverse projects while receiving strong mentorship, applying your skills in coding, algorithms, and systems architecture to maintain reliable infrastructure at scale.
Our team combines technical excellence with a collaborative culture that values intellectual curiosity and diverse perspectives. We provide an environment where engineers can take ownership of projects while growing their expertise in large-scale system design and operations.

Responsibilities

  • Reliability Oversight: Ensure the unwavering performance and efficiency of our core infrastructure, establishing reliability standards and recovery SOPs.
  • Technical Troubleshooting: Investigate and resolve technical issues, conduct bottleneck analyses, and orchestrate enhancements to our system’s high availability architecture.
  • Efficiency Mastery: Develop automated operation solutions for large-scale systems, collaborating closely with system development teams to facilitate seamless iteration.
  • Cost Optimization: Manage the intricacies of millions of CPUs by implementing delivery standards, monitoring systems, and strategizing budgets for the optimization of company costs.

Qualifications

Minimum Qualifications

  • Solid basic knowledge of computer software, understanding of Linux operating system, storage, network IO and other related principles.
  • Familiar with one or more programming languages, such as Python, Go, and Java. Knowledge of design patterns and coding principles is necessary.
  • Have coding experience in at least one of the following languages: C, C++, Java, Go, or Python.

Preferred Qualifications

  • Experience with computing & big data, and system experience with the following: Kubernetes, Docker/Containers, AIops, Spark, Flink, Function as a service, RPC Framework, and Service Mesh.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
If you have any questions, please reach out to us at apac-earlycareers@tiktok.com
Job Information
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok’s global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo

Responsibilities
  • Reliability Oversight: Ensure the unwavering performance and efficiency of our core infrastructure, establishing reliability standards and recovery SOPs.
  • Technical Troubleshooting: Investigate and resolve technical issues, conduct bottleneck analyses, and orchestrate enhancements to our system’s high availability architecture.
  • Efficiency Mastery: Develop automated operation solutions for large-scale systems, collaborating closely with system development teams to facilitate seamless iteration.
  • Cost Optimization: Manage the intricacies of millions of CPUs by implementing delivery standards, monitoring systems, and strategizing budgets for the optimization of company costs
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