The USDS Video Platform team seeks a Site Reliability Engineer to help ensure the reliability and scalability of TikTok’s video system. This role focuses on managing data pipelines and supporting the broader Video Architecture platform.

Responsibilities

- Manage day‑to‑day operations of data services, including realtime and batch pipelines, SLA management, deployment, performance tuning, and troubleshooting.
- Proactively monitor and troubleshoot pipelines and systems for performance issues, errors, or anomalies.
- Create tools, build alarms and dashboards, and drive internal process improvements and automation to monitor and enhance data engineering operations.
- Improve system reliability, efficiency, and velocity through scaling, resource optimization, workflow optimization, and potential refactoring or new solutions.
- Develop and deploy new reliable and scalable data pipelines and infrastructure components as required by business needs.




- Collaborate closely with data engineering and various vertical teams within the Video Architecture platform.

Qualifications

Minimum Qualifications

- Bachelor’s degree in Computer Science or a related technical field, or equivalent work experience.
- Strong programming experience with SQL and at least one of Java, Python, Go, or Scala.
- Experience in data engineering with a focus on reliability, scalability, performance, and capacity management.
- Solid experience with big data technologies (Hadoop, Spark, Flink, YARN) and databases (SQL, NoSQL).
- Knowledge of data pipeline and workflow management tools such as Airflow and Luigi.

Preferred Qualifications

- Demonstrated independent thinking and robust troubleshooting skills in large‑scale distributed systems.
- Excellent communication and coordination skills.
- Experience building data solutions on AWS, Google Cloud, Azure, or other cloud platforms.

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📌 Data Site Reliability Engineer, Video Platform - USDS (City of Sydney)
🏢 TikTok USDS Joint Venture
📍 City of Sydney