Site Reliability Engineer: Scale, Automation & Reliability

CSEA; Sydney; Hybrid; AUD 90,000 - 120,000; Full time

Job summary

TikTok's Technical Infrastructure team in Australia seeks graduates to help manage reliable, scalable infrastructure across storage, computing, and databases. You will tackle complex scalability challenges, apply coding, algorithms, and systems design, and own projects with mentorship.

You will join a collaborative culture that values curiosity and diverse perspectives, taking ownership of initiatives and growing expertise in large-scale design and operations.

Qualifications

• Bachelor's/Master's degree in Software Development, Computer Science, Computer Engineering, or related technical discipline.
• Solid basic knowledge of software, Linux OS, storage, network IO and related principles.
• Proficiency in Python, Go, or Java; knowledge of design patterns and coding principles.
• Experience coding in >=1 of C, C++, Java, Go, or Python.

Responsibilities

• Reliability oversight: ensure performance and efficiency of core infrastructure; establish reliability standards and recovery SOPs.
• Technical troubleshooting: investigate issues, analyze bottlenecks, and enhance high availability architecture.
• Efficiency mastery: develop automated operation solutions for large-scale systems with system development teams.
• Cost optimization: manage budgets and monitoring to optimize company costs.

Skills

Python

Go

Java

C++

Linux

Education

Bachelor's or Master's in Software Development / Computer Science

Tools

Kubernetes

Docker

Spark

Flink

Service Mesh

Job description

TikTok's Technical Infrastructure team in Australia seeks graduates to help manage reliable, scalable infrastructure across storage, computing, and databases. You will tackle complex scalability challenges, apply coding, algorithms, and systems design, and own projects with mentorship.

You will join a collaborative culture that values curiosity and diverse perspectives, taking ownership of initiatives and growing expertise in large-scale design and operations.