TikTok
Data Ingestion SRE, Data Platform -USDS
TikTok, Los Angeles, California, United States, 90079
Responsibilities
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed services and infrastructures. As a site reliability engineer in the data platform area, you will manage the services and infrastructures in one of the largest data platforms in the world that directly supports the TikTok app. You will ensure the data, services, and infrastructures are reliable, fault‑tolerant, efficiently scalable, and cost‑effective. The role follows a hybrid work schedule: 3 days a week in the office, or as directed by the manager. The work model may change over time. End-to-End Service Lifecycle Management: Participate in and continuously improve the full lifecycle of services, from initial design and development to deployment, ongoing operation, and iterative optimization. Ensure Reliability and Scalability: Maintain highly reliable, fault‑tolerant, and scalable systems that are cost‑effective and efficient, ensuring data, services, and infrastructure meet business needs. Performance Troubleshooting: Diagnose and resolve performance issues, including slow queries, resource contention, and bottlenecks across distributed storage engines and services. Cluster Scaling and Data Growth: Plan and implement strategies for scaling clusters effectively to accommodate increasing data volume while optimizing performance and cost‑efficiency. Documentation and Incident Response: Develop and maintain clear runbooks, SOPs, and lead sustainable, blameless incident response practices with post‑incident analysis to drive continuous improvement. Big Data System Design: Architect and implement robust, scalable, and extensible big‑data systems that support core business and products, ensuring seamless data flow and system integration. On-Call Rotation: Participate in on‑call rotations for production incidents, ensuring critical issues are addressed swiftly, with availability to troubleshoot and resolve problems outside of regular business hours as needed. Incident Ownership and Analysis: Take ownership of incidents during on‑call hours, coordinate escalations as necessary, and conduct thorough post‑incident analyses to identify root causes and implement preventive measures. Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience. Experience writing code in Java, Scala, Go, Python, or a similar language; strong scripting skills (e.g., Bash and Shell) for automation tasks. Experience with algorithms, data structures, complexity analysis, and software design: solid understanding of how to build scalable and efficient systems. Basic SQL (MySQL, PostgreSQL, or similar): strong understanding of traditional relational databases, ability to write queries, perform joins, use aggregate functions, and optimize basic SQL queries. Systems and Infrastructure: knowledge of Linux/Unix systems, familiarity with system internals, networking, and resource management (memory, CPU, storage). Hands‑on experience with observability tools such as Prometheus, Grafana, and OpenTSDB for monitoring, logging, and real‑time performance tracking. CI/CD Tools: familiarity with continuous integration and deployment pipelines and tools such as Jenkins or GitLab CI. Preferred Qualifications
Experience running production-grade services at scale; understanding of cloud-native technologies, networking, and storage management for high‑availability environments. Hands‑on experience with distributed processing frameworks like Apache Spark and Apache Flink for large‑scale data processing. Experience developing tools and APIs to reduce manual intervention in systems administration and improve automation. Familiarity with Apache Kafka and Apache Hive integrations for data pipelines and stream processing. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits. About USDS
TikTok is the leading destination for short‑form mobile video. The U.S. Data Security (“USDS”) is a subsidiary focused on providing oversight and protection of the TikTok platform and U.S. user data. Our teams span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions. Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information, subject to strict national security-related screening. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people authentically express themselves, discover and connect. We thrive on curiosity, humility, and impact in a rapidly growing tech company. Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and aim to be a workplace that reflects the many communities we reach. USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected conditions. For assistance, contact
USDS-RA . Job Information
Compensation: $118,657 - $246,240 annually (base salary). Additional compensation may include discretionary bonuses, incentive plans, and restricted stock units. Benefits include medical, dental, vision, 401(k) match, paid parental leave, short‑term and long‑term disability, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 paid personal days. Employers reserve the right to change benefits at any time.
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Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed services and infrastructures. As a site reliability engineer in the data platform area, you will manage the services and infrastructures in one of the largest data platforms in the world that directly supports the TikTok app. You will ensure the data, services, and infrastructures are reliable, fault‑tolerant, efficiently scalable, and cost‑effective. The role follows a hybrid work schedule: 3 days a week in the office, or as directed by the manager. The work model may change over time. End-to-End Service Lifecycle Management: Participate in and continuously improve the full lifecycle of services, from initial design and development to deployment, ongoing operation, and iterative optimization. Ensure Reliability and Scalability: Maintain highly reliable, fault‑tolerant, and scalable systems that are cost‑effective and efficient, ensuring data, services, and infrastructure meet business needs. Performance Troubleshooting: Diagnose and resolve performance issues, including slow queries, resource contention, and bottlenecks across distributed storage engines and services. Cluster Scaling and Data Growth: Plan and implement strategies for scaling clusters effectively to accommodate increasing data volume while optimizing performance and cost‑efficiency. Documentation and Incident Response: Develop and maintain clear runbooks, SOPs, and lead sustainable, blameless incident response practices with post‑incident analysis to drive continuous improvement. Big Data System Design: Architect and implement robust, scalable, and extensible big‑data systems that support core business and products, ensuring seamless data flow and system integration. On-Call Rotation: Participate in on‑call rotations for production incidents, ensuring critical issues are addressed swiftly, with availability to troubleshoot and resolve problems outside of regular business hours as needed. Incident Ownership and Analysis: Take ownership of incidents during on‑call hours, coordinate escalations as necessary, and conduct thorough post‑incident analyses to identify root causes and implement preventive measures. Qualifications
Minimum Qualifications
Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience. Experience writing code in Java, Scala, Go, Python, or a similar language; strong scripting skills (e.g., Bash and Shell) for automation tasks. Experience with algorithms, data structures, complexity analysis, and software design: solid understanding of how to build scalable and efficient systems. Basic SQL (MySQL, PostgreSQL, or similar): strong understanding of traditional relational databases, ability to write queries, perform joins, use aggregate functions, and optimize basic SQL queries. Systems and Infrastructure: knowledge of Linux/Unix systems, familiarity with system internals, networking, and resource management (memory, CPU, storage). Hands‑on experience with observability tools such as Prometheus, Grafana, and OpenTSDB for monitoring, logging, and real‑time performance tracking. CI/CD Tools: familiarity with continuous integration and deployment pipelines and tools such as Jenkins or GitLab CI. Preferred Qualifications
Experience running production-grade services at scale; understanding of cloud-native technologies, networking, and storage management for high‑availability environments. Hands‑on experience with distributed processing frameworks like Apache Spark and Apache Flink for large‑scale data processing. Experience developing tools and APIs to reduce manual intervention in systems administration and improve automation. Familiarity with Apache Kafka and Apache Hive integrations for data pipelines and stream processing. As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. For this position, the Company does not provide sponsorship for any immigration-related benefits. About USDS
TikTok is the leading destination for short‑form mobile video. The U.S. Data Security (“USDS”) is a subsidiary focused on providing oversight and protection of the TikTok platform and U.S. user data. Our teams span Trust & Safety, Security & Privacy, Engineering, User & Product Ops, and Corporate Functions. Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information, subject to strict national security-related screening. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product helps people authentically express themselves, discover and connect. We thrive on curiosity, humility, and impact in a rapidly growing tech company. Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. We celebrate diverse voices and aim to be a workplace that reflects the many communities we reach. USDS Reasonable Accommodation
USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other protected conditions. For assistance, contact
USDS-RA . Job Information
Compensation: $118,657 - $246,240 annually (base salary). Additional compensation may include discretionary bonuses, incentive plans, and restricted stock units. Benefits include medical, dental, vision, 401(k) match, paid parental leave, short‑term and long‑term disability, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 paid personal days. Employers reserve the right to change benefits at any time.
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