TikTok's US Data Security (USDS) team is focused on ensuring the stability, reliability, scalability, and risk management of TikTok's US data processing ecosystem, maintaining and operating batch and streaming pipelines while adhering to strict data compliance standards.
Requirements
- 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 like MySQL or PostgreSQL. Ability to write queries, perform joins, use aggregate functions, and optimize basic SQL queries.
- Systems and Infrastructure: Knowledge of Linux/Unix systems, as most infrastructure is based on Linux. Familiarity with system internals, networking, and resource management (memory, CPU, storage).
- Hands-on experience with observability tools such as Prometheus, Grafana, & 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, Aegis , Bits).
- Familiarity with containerized deployments such as Docker/Kubernetes.
Responsibilities
- 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 both 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, Standard Operating Procedures (SOPs), and lead sustainable, 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, with availability to troubleshoot and resolve problems outside of regular business hours as needed.
Other
- 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.
- 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.
- 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.
- 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.
