Responsibilities
About The Team
Our Ads Data Infrastructure team builds OLAP systems that power our advertisement monetization products' data needs. At TikTok's scale, our team is constantly developing solutions to push the boundaries of OLAP performance. Team members will focus on the development of ByteDance's core high-performance and highly-available analytical databases. They are based on open-source projects, but with many modifications and improvements that we have iterated on for several years. In this role you'll dive deep into distributed storage engines like Elasticsearch, ClickHouse, and Doris and optimize their performance under various workloads at the source code level. In this role you'll see a direct link between your work and how it enables Tiktok's advertisement monetization systems to run at blazing high speeds. If designing scalable distributed storage systems for massive QPS and low latency interests you, let's talk!
Want more jobs like this?
Get Software Engineering jobs in San Jose, CA delivered to your inbox every week.
Responsibilities
- Develop core OLAP features based on open source and in-house technologies to empower TikTok's Ads Data Team products
- Continuously invest in cutting-edge OLAP technologies and scale our systems as business grows
- Work with the Ads Data Team to identify pain points proactively in their big data analysis scenarios, and design custom database optimizations at the source code level
- Become the data infra PoC for an area of Ads Data Team product and build great customer experiences
Qualifications
Minimum Qualifications
- Bachelor's degree or above in computer science, software engineering, or related fields
- Fluency in at least one programming language such as Java/C/C++
- Strong interest in working on performance optimizations for distributed storage systems
- Ability to understand business requirements and provide reasonable technical solutions
- Experience working with distributed systems like Elasticsearch/ClickHouse/Presto/Impala/GreenPlum/Vertica/Spark/Doris is preferred
- Experience with ads technologies and products is helpful but not required
Job Information
[For Pay Transparency] Compensation Description (annually)
The base salary range for this position in the selected city is $145000 - $250000 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.