TikTok
Site Reliability Engineer, Data Platform- USDS
TikTok, Los Angeles, California, United States, 90079
Site Reliability Engineer, Data Platform- USDS
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 have the opportunity to manage the services and infrastructures in one of the largest data platforms in the world that directly supports the TikTok app. You'll need to ensure the data, services and infrastructures are reliable, fault-tolerant, efficiently scalable and cost-effective. 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. Responsibilities include: Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation and refinement Ensure reliable, fault-tolerant, efficiently scalable and cost-effective data, services and infrastructures Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Practice sustainable incident response and blameless postmortems. Establish best engineering practice for engineers as well as non-technical people Design and implement reliable, scalable, robust and extensible big data systems that support core products and business 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, Go, Python or a similar language Experience with algorithms, data structures, complexity analysis and software design Preferred Qualifications: Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design and dimensional modeling. Familiarity with running production grade services at scale and understanding cloud native technologies and networking Experience developing tools and APIs to reduce human interaction with systems and applications using a variety of coding and scripting standards Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink or comparable solutions) Systematic problem-solving approach, coupled with effective communication skills and a sense of drive 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. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. 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. The base salary range for this position is $118,657 - $246,240 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Benefits include medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, and more.
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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 have the opportunity to manage the services and infrastructures in one of the largest data platforms in the world that directly supports the TikTok app. You'll need to ensure the data, services and infrastructures are reliable, fault-tolerant, efficiently scalable and cost-effective. 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. Responsibilities include: Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation and refinement Ensure reliable, fault-tolerant, efficiently scalable and cost-effective data, services and infrastructures Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Practice sustainable incident response and blameless postmortems. Establish best engineering practice for engineers as well as non-technical people Design and implement reliable, scalable, robust and extensible big data systems that support core products and business 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, Go, Python or a similar language Experience with algorithms, data structures, complexity analysis and software design Preferred Qualifications: Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design and dimensional modeling. Familiarity with running production grade services at scale and understanding cloud native technologies and networking Experience developing tools and APIs to reduce human interaction with systems and applications using a variety of coding and scripting standards Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink or comparable solutions) Systematic problem-solving approach, coupled with effective communication skills and a sense of drive 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. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. 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. The base salary range for this position is $118,657 - $246,240 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Benefits include medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, and more.
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