TikTok
Site Reliability Engineer, Recommendation Infrastructure - USDS
TikTok, Seattle, Washington, us, 98127
Site Reliability Engineer, Recommendation Infrastructure - USDS
Responsibilities
Engage in and improve the whole lifecycle of Recommendation systems — from system design consulting through to launch reviews, deployment, operation and refinement
Deliver tools/software to improve the reliability and scalability of services, automate operations and improve R&D efficiency
Build availability of large-scale services deployed across global data centers
Plan, manage and optimize cloud resources utilization, ensuring SLA of large-scale clusters
Measure and monitor availability, latency and overall service health
Practice sustainable incident response and postmortems
Hybrid work schedule: To enhance collaboration, this organization follows a hybrid model requiring employees to work in the office 3 days a week, or as directed by their manager/department. The model may change over time.
Qualifications
Bachelor’s degree or higher in Computer Science or related field, with at least 2 years of related work experience
Experience in SRE of large-scale systems deployment with high reliability and scalability
Familiar with system operation skills in Linux and networking
Experience programming in Python, Perl, Go, or C/C++
Experience in designing, analyzing and troubleshooting large-scale distributed systems
Familiar with popular CI/CD procedures and environments
Effective communication skills and a sense of ownership and drive
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
About Us TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is a TikTok subsidiary focused on data protection policies and content assurance protocols for U.S. users. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement: This role requires working with systems designed to protect sensitive data and will be subject to national security-related screening.
Compensation and Benefits The base salary range for this position in the selected city is $129,960 - $246,240 annually. Compensation may vary based on qualifications, skills, competencies and location. Base pay may be eligible for bonuses/incentives and RSUs. Benefits include medical, dental, and vision insurance from day one, a 401(k) plan with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time (prorated on hire).
Equal Opportunity USDS is committed to an inclusive workplace. We provide reasonable accommodations in our recruitment processes per applicable laws. If you need assistance or an accommodation, please contact us.
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Engage in and improve the whole lifecycle of Recommendation systems — from system design consulting through to launch reviews, deployment, operation and refinement
Deliver tools/software to improve the reliability and scalability of services, automate operations and improve R&D efficiency
Build availability of large-scale services deployed across global data centers
Plan, manage and optimize cloud resources utilization, ensuring SLA of large-scale clusters
Measure and monitor availability, latency and overall service health
Practice sustainable incident response and postmortems
Hybrid work schedule: To enhance collaboration, this organization follows a hybrid model requiring employees to work in the office 3 days a week, or as directed by their manager/department. The model may change over time.
Qualifications
Bachelor’s degree or higher in Computer Science or related field, with at least 2 years of related work experience
Experience in SRE of large-scale systems deployment with high reliability and scalability
Familiar with system operation skills in Linux and networking
Experience programming in Python, Perl, Go, or C/C++
Experience in designing, analyzing and troubleshooting large-scale distributed systems
Familiar with popular CI/CD procedures and environments
Effective communication skills and a sense of ownership and drive
Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.
About Us TikTok is the leading destination for short-form mobile video. U.S. Data Security (USDS) is a TikTok subsidiary focused on data protection policies and content assurance protocols for U.S. users. The teams within USDS span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more.
Data Security Statement: This role requires working with systems designed to protect sensitive data and will be subject to national security-related screening.
Compensation and Benefits The base salary range for this position in the selected city is $129,960 - $246,240 annually. Compensation may vary based on qualifications, skills, competencies and location. Base pay may be eligible for bonuses/incentives and RSUs. Benefits include medical, dental, and vision insurance from day one, a 401(k) plan with company match, paid parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of paid personal time (prorated on hire).
Equal Opportunity USDS is committed to an inclusive workplace. We provide reasonable accommodations in our recruitment processes per applicable laws. If you need assistance or an accommodation, please contact us.
#J-18808-Ljbffr