TikTok
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 dataplatforms 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. 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 and Standard Operating Procedures (SOPs), and lead 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 the 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 and that you are available 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/Continuous Deployment pipelines and tools (e.g., Jenkins, GitLab CI). Preferred Qualifications Hands-on experience with distributed processing frameworks like Apache Spark and Apache Flink for large-scale data processing and stream processing. Familiarity with Apache Kafka and Apache Hive integrations in the context of data pipelines and stream processing. HiveSQL Knowledge: Solid understanding of HiveSQL (Hive Query Language - HQL) and the ability to write, optimize, and debug queries on large datasets stored in Hadoop-based systems. HiveSQL with Kafka Stream Integration: Experience in integrating HiveSQL with Kafka Streams or Kafka Connect for real-time data processing. Experience running production-grade services at scale: Understanding of cloud-native technologies, networking, and storage management to support high-availability and large-scale environments. Experience developing tools and APIs to reduce manual intervention in systems administration and improve automation and operational efficiency. Expertise in designing, analyzing, and troubleshooting large-scale systems; experience with Hadoop, Spark, Hive, Presto, Kafka, Flink, or comparable solutions is a strong plus. 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 USDS
TikTok is the leading destination for short-form mobile video. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS deliver on this commitment daily across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. 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 reasons protected by applicable laws. If you need assistance please reach out to us at tinyurl.com/USDS-RA Job Information
Compensation descriptions vary by location and are disclosed where applicable. Base pay is one part of the total package and may be eligible for bonuses, stock units, and other incentives. Benefits may vary by employment type and country. Day-one medical, dental, and vision insurance; 401(k) with company match; parental leave; disability coverage; life insurance; wellbeing benefits; and paid time off are typical components. The company reserves the right to modify these programs at any time. Note
This description includes at-a-glance information and may reference multiple locations. For Los Angeles County candidates: certain laws apply regarding criminal history and employment considerations.
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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 dataplatforms 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. 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 and Standard Operating Procedures (SOPs), and lead 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 the 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 and that you are available 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/Continuous Deployment pipelines and tools (e.g., Jenkins, GitLab CI). Preferred Qualifications Hands-on experience with distributed processing frameworks like Apache Spark and Apache Flink for large-scale data processing and stream processing. Familiarity with Apache Kafka and Apache Hive integrations in the context of data pipelines and stream processing. HiveSQL Knowledge: Solid understanding of HiveSQL (Hive Query Language - HQL) and the ability to write, optimize, and debug queries on large datasets stored in Hadoop-based systems. HiveSQL with Kafka Stream Integration: Experience in integrating HiveSQL with Kafka Streams or Kafka Connect for real-time data processing. Experience running production-grade services at scale: Understanding of cloud-native technologies, networking, and storage management to support high-availability and large-scale environments. Experience developing tools and APIs to reduce manual intervention in systems administration and improve automation and operational efficiency. Expertise in designing, analyzing, and troubleshooting large-scale systems; experience with Hadoop, Spark, Hive, Presto, Kafka, Flink, or comparable solutions is a strong plus. 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 USDS
TikTok is the leading destination for short-form mobile video. U.S. Data Security (“USDS”) is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe. Our focus is on providing oversight and protection of the TikTok platform and U.S. user data, so millions of Americans can continue turning to TikTok to learn something new, earn a living, express themselves creatively, or be entertained. The teams within USDS deliver on this commitment daily across Trust & Safety, Security & Privacy, Engineering, User & Product Ops, Corporate Functions and more. Data Security Statement
This role requires the ability to work with and support systems designed to protect sensitive data and information. As such, this role will be subject to strict national security-related screening. Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. 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 reasons protected by applicable laws. If you need assistance please reach out to us at tinyurl.com/USDS-RA Job Information
Compensation descriptions vary by location and are disclosed where applicable. Base pay is one part of the total package and may be eligible for bonuses, stock units, and other incentives. Benefits may vary by employment type and country. Day-one medical, dental, and vision insurance; 401(k) with company match; parental leave; disability coverage; life insurance; wellbeing benefits; and paid time off are typical components. The company reserves the right to modify these programs at any time. Note
This description includes at-a-glance information and may reference multiple locations. For Los Angeles County candidates: certain laws apply regarding criminal history and employment considerations.
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