Site Reliability Engineer - AML Global Recommendation - USDS

TikTok
San Jose, CA
Job Description
This site reliability engineering role focuses on developing and maintaining highly available, scalable AI/ML recommendation systems for TikTok users. The team collaborates with software engineering and ensures reliability, scalability, and performance through automation. The position offers a hybrid work schedule requiring in-office work 3 days a week.

Requirements

  • Expertise in analyzing and troubleshooting Linux-based distributed systems.
  • Bachelor's/Master's degree in Computer Science or related field.
  • Experience programming with C++, Python, Go, or Java.
  • Strong understanding of data structures and algorithms.
  • Competent knowledge of relational databases.

Benefits

  • Medical, dental, and vision insurance
  • 401(k) savings plan
  • Paid parental leave
  • Short-term and long-term disability coverage
  • Life insurance
  • Wellbeing benefits
  • 10 paid holidays per year
  • 10 paid sick days per year
  • 17 days of Paid Personal Time
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