Site Reliability Engineer

1 month ago

Seattle, Washington, United States Tik Tok Full time
About the Role

This is a Site Reliability Engineer position, focusing on the data pipeline reliability for the Video Platform team in USDS.

Data SREs monitor data and keep production batch and real-time processing jobs up and running with the highest level of availability, ensuring our users have the freshest, complete, and correct data possible.

Responsibilities
  • Manage day-to-day operations of data service, real-time/batch data pipelines, such as Service Level Agreement management, pipeline deployment, performance tuning, and troubleshooting
  • Proactively monitor and troubleshoot data pipelines and systems for performance issues, errors, or anomalies
  • Create tools, build alarms, and dashboards, drive internal process improvements, and automation to monitor and improve data engineering operations
  • Improve systems reliability, efficiency, and velocity through scaling, optimization of both resources and data processing workflows, potentially refactoring code or implementing new solutions
  • Develop and deploy new reliable and scalable data pipelines and infrastructure components as required by business needs
  • Work closely with data engineering and various vertical teams within the Video Architecture platform
Qualifications
  • Minimum Qualifications
    • Bachelor's in Computer Science or a related technical background involving software/system engineering, or equivalent working experience
    • Good programming experience with SQL and at least one of the following languages: Java, Python, Go, or Scala
    • Experience in data engineering, with a focus on data systems reliability, scalability, and performance
  • Preferred Qualifications
    • Solid experience with big data technologies (e.g., Hadoop, Spark, Flink, YARN) and databases (SQL, NoSQL)
    • Knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi)
    • Demonstrated independent thinking capabilities and troubleshooting skills in large-scale distributed systems
    • Good communication and coordination skills
    • Experience in building data solutions with AWS, Azure, and other cloud services is a plus
About Us

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe, and so does our workplace.

We are passionate about this and hope you are too.

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws.

If you need assistance or a reasonable accommodation, please reach out to us.

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