Data Site Reliability Engineer, Video Platform - USDS

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 strong 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.