13 дней назад
Senior Data Site Reliability Engineer (Video Platform)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Site Reliability Engineer (Video Platform): Building and operating reliable, scalable data pipelines and infrastructure for TikTok's next-generation video processing platform with an accent on data system reliability, performance, and capacity management. Focus on monitoring and troubleshooting distributed data systems, automating operational workflows, and optimizing large-scale data processing.
Location: On-site in Sydney, Australia; fully in-person schedule of up to 5 days per week
Company
operates a global video platform for multimedia storage, delivery, and transcoding, with the USDS Joint Venture focused on data privacy, cybersecurity, and protection of U.S. user data.
What you will do
- Manage day-to-day operations of data services and real-time and batch data pipelines, including SLA management, deployment, performance tuning, and troubleshooting.
- Monitor data pipelines and systems for performance issues, errors, and anomalies.
- Create operational tools, alarms, and dashboards to improve data engineering reliability and automation.
- Scale and optimize resources, data processing workflows, and system architecture to improve reliability, efficiency, and delivery speed.
- 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 experience and proficiency in at least one of Java, Python, Go, or Scala.
- Experience in data engineering, with a focus on reliability, scalability, performance, and capacity management.
- Strong experience with big data technologies such as Hadoop, Spark, Flink, or YARN, and with SQL and NoSQL databases.
- Knowledge of data pipeline and workflow management tools such as Airflow or Luigi.
- Independent troubleshooting and communication skills in 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 rapid decision-making, team development, and integrated execution.
- Work in a diverse environment focused on creativity, curiosity, humility, resilience, and continuous learning.
- Contribute to a platform used by billions of people worldwide.
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