Site Reliability Engineer, Cloud Infrastructure - USDS

Responsibilities

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.

• 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.

The base salary range for this position in the selected city is $129,960 - $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. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to 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, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and 3. Exercising sound judgment.