Team Intro
The Speech team's mission is to empower content interaction and creation using speech & audio related technologies. The team focuses on cutting-edge R&D in areas like speech & audio, music processing, natural language understanding and multimodal deep learning. We are looking for top talents to work on these exciting technologies, integrate them into various products and ultimately bring joy to our global user base!

Responsibilities
We are seeking a talented and experienced Site Reliability Engineer (SRE) to join our dynamic team. This role focuses on the reliability, scalability, and performance of our AI applications. The ideal candidate will have a strong background in both software engineering and systems engineering, with a particular emphasis on maintaining and optimizing AI and machine learning infrastructure. The major responsibilities include:
- Monitoring and Incident Response: Develop and implement monitoring solutions to track the performance and reliability of AI systems. Respond to incidents, diagnose issues, and implement fixes to minimize downtime.
- Automation and Tooling: Automate repetitive tasks, streamline deployments, and create tools to improve the efficiency and reliability of AI operations.
- Performance Optimization: Analyze and optimize the performance of AI applications and the underlying infrastructure, including tuning algorithms and resource management.
- Capacity Planning: Forecast infrastructure needs and ensure that the AI applications have the necessary resources to handle future workloads.
- Security: Implement and maintain security best practices to protect data and applications, ensuring compliance with relevant regulations.
- Documentation: Create and maintain detailed documentation of infrastructure, processes, and procedures to ensure knowledge sharing and continuity.
- Continuous Improvement: Identify opportunities for process improvements and implement solutions to enhance the reliability and performance of AI systems.

Qualifications

Minimum Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in site reliability engineering, DevOps, or a related role.
- Proven experience managing and optimizing AI and machine learning infrastructure.

Preferred Qualifications:
- Proficiency with cloud platforms such as AWS, Google Cloud, or Azure.
- Strong programming skills in languages such as Python, Go, or Java.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Familiarity with CI/CD pipelines and tools such as Jenkins, GitLab CI, or CircleCI.
- Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK stack, or Datadog.
- Understanding of networking, security principles, and best practices in cloud environments.
- Strong problem-solving capabilities, with a detail-oriented and user-focused approach.
- Strong communication and interpersonal skills, capable of engaging effectively with both technical and non-technical stakeholders.

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. We are passionate about this and hope you are too.

TikTok 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. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $129960 - $194750 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.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents and offer a Health Savings Account(HSA) with a company match. As well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life and AD&D insurance plans. In addition to Flexible Spending Account(FSA) Options like Health Care, Limited Purpose and Dependent Care.

Our time off and leave plans are: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure) and 10 paid sick days per year as well as 12 weeks of paid Parental leave and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra. A 401K company match, gym and cellphone service reimbursements. 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.