Site Reliability Engineer

4 weeks ago

New York, New York, United States Tik Tok Full time
About TikTok U.S. Data Security

TikTok is a leading platform for short-form mobile video, and our mission is to inspire creativity and bring joy. Our U.S. Data Security division is a subsidiary of TikTok, dedicated to protecting user data and ensuring the security of our platform.

Job Summary

We are seeking a highly skilled Site Reliability Engineer to join our AML team. As a Site Reliability Engineer, you will be responsible for designing, building, and maintaining highly available, scalable, and fault-tolerant systems. You will work closely with software engineering teams to ensure that applications are designed with reliability, scalability, and performance in mind.

Responsibilities
  • Design, build, and maintain highly available, scalable, and fault-tolerant systems.
  • Monitor and analyze system performance, identifying and resolving issues before causing user impact.
  • Develop and maintain automated monitoring, alerting, and incident response systems.
  • Collaborate closely with software engineering teams to ensure that applications are designed with reliability, scalability, and performance in mind.
  • Implement and maintain security best practices and ensure compliance with regulatory requirements.
  • Participate in on-call rotations and respond to issues and incidents within and outside of normal business hours.
Requirements
  • Expertise in analyzing and troubleshooting Linux-based distributed systems.
  • Bachelor's/Master's degree in Computer Science, Computer Engineering, or equivalent years of experience in a SRE or software engineering role.
  • Experience programming with at least one commonly used language (C, C++, Python, Go).
  • Strong understanding of data structures and algorithms.
  • Competent knowledge of relational database systems.
Preferred Qualifications
  • Ability to design and maintain large-scale systems.
  • Strong understanding of code optimization and routine task automation.
  • Proficiency in at least one machine learning framework (TensorFlow, PyTorch, MXNet, or PaddlePaddle).
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 celebrating our diverse voices and creating an environment that reflects the many communities we reach.

We are 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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