Site Reliability Engineer, Recommendation Infrastructure - USDS
Apply NowCompany: TikTok
Location: San Jose, CA 95123
Description:
Responsibilities
About the Team
The USDS TikTok Recommendations Infra SRE team works with engineering and product teams to build and run large-scale, globally distributed, observable, fault-tolerant systems. SREs on this team will deliver on production ownership and be responsible for observability and automation across complex, large-scale service mesh architectures.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
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.
Qualifications
Minimum Qualifications
Bachelor's degree or above majoring in Computer Science or related fields, 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 network
Experience programming in at least one of the following languages: 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 the Team
The USDS TikTok Recommendations Infra SRE team works with engineering and product teams to build and run large-scale, globally distributed, observable, fault-tolerant systems. SREs on this team will deliver on production ownership and be responsible for observability and automation across complex, large-scale service mesh architectures.
In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.
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.
Qualifications
Minimum Qualifications
Bachelor's degree or above majoring in Computer Science or related fields, 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 network
Experience programming in at least one of the following languages: 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.