Senior Site Reliability Engineer, Cloud Infrastructure - USDS

The Systems and Networking team is committed to ensuring the seamless operation of Tik Tok's US physical infrastructure. We handle the provisioning of physical servers and maintain the Tik Tok US physical network. Additionally, we engage in collaborative efforts with vendors such as OCI and Akamai to manage physical hardware, networks, and uphold assurance and compliance objectives.
We also work closely with our colleagues around the world to build and support various platforms within our US region, including internal platforms that support our daily operations. Our primary goal is to ensure the uninterrupted functionality of Tik Tok's US Physical Infrastructure, thus facilitating other internal middleware teams to deliver essential intermediary services to internal business units such as Product, e-Commerce, Ads/Monetization, etc.,

all while strictly adhering to compliance standards.

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.

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.

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 in designing, analyzing, and building automation and tools for large-scale systems.

* Experience in building solutions with AWS, GCP, Azure, and other cloud services.

Preferred qualifications

* Expertise in any of these tech stacks:
Kubernetes, Elastic Search, Click House, Message Queue, OpenTSDB, Service Mesh, MySQL, Redis, etc.

* Master's degree in Computer Science, Engineering, or a related field.

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 or any immigration-related benefits.