Site Reliability Engineer, Data Engineering - USDS

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About the team:
TikTok video system is a world-leading video platform that provides multi-media storage, delivery, transcoding services.As a part of US Tech Service department, we are responsible for building the next generation video processing platform which provides excellent experiences for billions of users around the world.

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.

About the role:
This is a Site Reliability Engineer role, focusing on the data pipeline reliability for the Video Platform team in USDS. Data SREs monitor data and keep production batch and realtime processing jobs up and running with the highest level of availability, ensuring our users have the freshest, complete and correct data possible.

Responsibilities:
Manage day-to-day operations of data service, realtime/batch data pipelines, such as Service Level Agreement management, pipeline deployment, performance tuning and troubleshooting
Proactively monitor and troubleshoot data pipelines and systems for performance issues, errors, or anomalies
Create tools, build alarms and dashboards, drive internal process improvements, and automation to monitor and improve data engineering operations
Improve systems reliability, efficiency, and velocity through scaling, optimization of both resources and data processing workflows, potentially refactoring code or implementing new solutions
Develop and deploy new reliable and scalable data pipelines and infrastructure components as required by business needs
Work closely with data engineering and various vertical teams within the Video Architecture platform

Qualifications

Minimum Qualifications:
Bachelor's in Computer Science or a related technical background involving software/system engineering, or equivalent working experience
Good programming experience with SQL and at least one of the following languages: Java, Python, Go, or Scala
Experience in data engineering, with a focus on data systems reliability, scalability, and performance
Experience with big data technologies (e.g., Hadoop, Spark, Flink, YARN) and databases (SQL, NoSQL)

Preferred Qualifications:
Knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi)
Demonstrated independent thinking capabilities and troubleshooting skills in large scale distributed systems
Good communication and coordination skills
Experience in building data solutions with AWS, Azure and other cloud services is a plus

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/ktJP6.

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.

Job Information

[For Pay Transparency] Compensation Description (annually)

The base salary range for this position in the selected city is $112065 - $246240 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.