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TikTok

Site Reliability Engineer, Cloud Infrastructure - USDS

TikTok, New York, New York, us, 10261

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Overview

Site Reliability Engineer, Cloud Infrastructure - USDS. The Systems and Networking team is responsible for the seamless operation of TikTok's US physical infrastructure, including provisioning physical servers and maintaining the US physical network. The team collaborates with vendors such as OCI and Akamai to manage hardware, networks, and compliance objectives. Our work supports global collaboration to build and support platforms within the US region and internal platforms that enable daily operations, with the goal of uninterrupted functionality of TikTok's US Physical Infrastructure to enable internal middleware teams and business units. Note: This role follows a hybrid work schedule requiring in-office presence 3 days a week, or as directed by the manager/department. Hybrid requirements may change over time. Responsibilities

Drive infrastructure automation and tooling: design, develop, and maintain solutions for efficient operation, optimization, and comprehensive monitoring of global infrastructure, minimizing manual intervention. Collaborate on service lifecycle management: partner with engineering teams to design, deploy, operate, and continuously improve robust and scalable systems and services from inception to refinement. Ensure service reliability and performance: proactively monitor system health, conduct performance testing, and manage incidents to maximize uptime, availability, and adherence to defined SLAs/SLOs. Execute core SRE practices: perform on-call duties and production operations, including change management, capacity planning, and disaster recovery, while contributing to documentation and process improvements across teams. Qualifications

Minimum Qualifications: Proficient in one or more programming languages (e.g., Python, Go, Java, C++); strong understanding of Linux operating systems and open-source technologies; experience in network architecture and troubleshooting, database modeling, cloud systems, and large-scale distributed systems; knowledge of monitoring tools and methodologies (such as Prometheus, Grafana), AIOPS, APM, Disaster Recovery; experience designing, analyzing, and building automation and tools for large-scale systems; experience with AWS, GCP, Azure, and other cloud services. Preferred qualifications: Expertise in Kubernetes, ElasticSearch, ClickHouse, Message Queue, OpenTSDB, Service Mesh, MySQL, Redis, etc.; Master’s degree in Computer Science, Engineering, or a related field. Employment eligibility: As a condition of employment, all successful candidates must be able to establish authorization to work in the United States. The company does not provide sponsorship for immigration-related benefits. About Us / Compliance

Data Security Statement: This role requires the ability to work with systems designed to protect sensitive data and information and may be subject to security screening. USDS and TikTok are committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities or other protected characteristics. If you need assistance or a reasonable accommodation, please reach out to us at the provided contact.

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