Data Site Reliability Engineer (Video Platform)

Location: Sydney, Australia; fully in-person schedule up to 5 days a week

Company

A technology joint venture focused on data privacy, cybersecurity, and the secure operation of TikTok products for U.S. users.

What you will do

• Manage daily operations of data services and realtime or batch data pipelines, including SLA management, deployments, performance tuning, and troubleshooting.
• Monitor data pipelines and systems for performance issues, errors, and anomalies.
• Create monitoring tools, alarms, and dashboards while improving and automating data engineering operations.
• Improve reliability, efficiency, and delivery speed by scaling resources, optimizing workflows, refactoring code, and implementing new solutions.
• Develop and deploy reliable, scalable data pipelines and infrastructure components.
• Collaborate with data engineering and other teams across the Video Architecture platform.

Requirements

• Bachelor’s degree in Computer Science or a related technical field, or equivalent experience.
• Strong SQL programming skills and experience with Java, Python, Go, or Scala.
• Experience with data engineering, including reliability, scalability, performance, and capacity management.
• Experience with big data technologies such as Hadoop, Spark, Flink, and YARN, as well as SQL and NoSQL databases.
• Knowledge of data pipeline and workflow management tools such as Airflow or Luigi.
• Independent troubleshooting and communication skills for large-scale distributed systems.

Nice to have

• Experience building data solutions with AWS, Google Cloud, Azure, or other cloud services.

Culture & Benefits

• Fully in-person work supports close alignment, rapid decision-making, and integrated execution.
• Work within a global, diverse technology organization focused on creativity, learning, and continuous improvement.
• Operate in an environment that values curiosity, humility, resilience, and inclusive collaboration.