Responsibilities

Our ads data team work closely with our product managers and data analysts by building state of the art streaming and batch data processing solution. The entire data pipeline is supporting both the Tiktok ads platform and our internal business intelligence platform. In this role, you will see a direct link between your work, and the company's business success. You will have opportunities to deal with Petabyte-level data warehouse. Some of the world's most challenging technical and business problems are waiting for you to solve. We are looking for a passionate Backend Engineer to join our Ads Data team. In this role, you will build and optimize large-scale data systems that empower our global monetization business. You will have the opportunity to design robust and scalable architectures, drive AI applications in real-world scenarios, and directly influence how millions of users and businesses connect. Responsibilities: 1. Lead the server-side development of data products, delivering new features and optimizing existing functionalities to support business needs. 2. Build the core data service capabilities of the commercialization platform by designing flexible, robust, and scalable architectures. 3. Develop backend solutions for AI-driven data processing and intelligent applications, bringing advanced AI capabilities into commercialization use cases.

Qualifications

Minimum Qualifications: 1. Bachelor's degree or above in Computer Science or related field, with solid knowledge of data structures and algorithms. 2. Proficiency in at least one programming language such as Java, Go, Scala, C++, or Python (Java is primarily used in daily work). 3. Strong hands-on experience and in-depth understanding of data engines (e.g., Elasticsearch, ClickHouse, Doris). 4. 3+ years of backend development experience with proven ability in system design, especially for high-performance and high-availability systems handling large-scale data. 5. Strong business acumen, with the ability to turn complex business needs into practical technical solutions. 6. Excellent communication and collaboration skills, with a proven ability to drive team alignment and deliver results. 7. Passion for technology, curiosity for innovation, and eagerness to take on challenges and continuously learn.

Job Information

[For Pay Transparency]Compensation Description (Annually)

The base salary range for this position in the selected city is $156000 - $316800 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.