Software Engineer Graduate (Data Ecosystem) - 2027 Start

TikTok; San Jose (CA); On-site; USD 128,000 - 317,000; Full time

Job summary

TikTok is seeking a Software Engineer Graduate for the Data Ecosystem team in San Jose. You will help design offline/real-time data architectures for the large-scale recommendation platform, prioritizing reliability and scalable storage.

You will work with Java, C++, and Scala, and gain exposure to Spark/Flink and lakehouse technologies such as Hudi, Iceberg, and Delta Lake to build robust data storage and tooling for the recommendation, search, and advertising domains.

Qualifications

• Bachelor's degree in CS or related field; 3+ years of experience building scalable systems.
• Proficiency with Spark/Flink at source code level is preferred.
• Experience with data lake technologies (Hudi, Iceberg, Delta Lake) and knowledge of HDFS is advantageous.

Responsibilities

• Design and implement an offline/real-time data architecture for large-scale recommendation systems.
• Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.
• Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
• Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Skills

Java

C++

Scala

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Spark

Flink

Hudi

Iceberg

Delta Lake

Hive

HBase

Kudu

Job description

Software Engineer Graduate (Data Ecosystem) - 2027 Start

Location: San Jose

Employment Type: Regular

Job Code: A206701

Responsibilities

Team Introduction: The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth.

• Design and implement an offline/real-time data architecture for large-scale recommendation systems.
• Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.
• Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.
• Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

• Minimum Qualifications: Bachelor's Degree, majoring in Computer Science or related fields, with 3+ years of experience building scalable systems.
• Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems.
• A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience.
• Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage.
• Prior experience in data warehousing modeling; Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively.
• Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus.
• Preferred Qualification: Currently pursuing a Master's degree in Computer Science or a related technical discipline.

Job Information

The base salary range for this position in the selected city is $128000 - $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.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

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 Accommodation

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://tinyurl.com/RA-request

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