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Site Reliability Engineer - Data Management Suite

TikTok

Site Reliability Engineer - Data Management Suite

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

401(k) matching

Professional development budget

Flexible work arrangements

Learning

Flexible Hours

Required Skills

Python

JavaScript

PostgreSQL

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Tik Tok

Site Reliability Engineer

  • Data Management Suite

3+ months ago• Singapore
Viewed on February 1, 2026
Apply on company site

About Us

Tik Tok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

  • Size: 5001-10000 employees
  • Industry: Entertainment & Gaming, Social Media, Technology

View Company Profile:

Responsibilities:

About the Team:

The Data Management Suite team is building products that cover the whole lifecycle of data pipeline, including data ingestion and Integration, data development, data catalog, data security and data governance. These products support various businesses, so data engineers and data scientists could greatly boost their productivity.

As a software engineer in the data management suite team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on core systems in the data platform ecosystem. Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

Responsibilities:

  • Be responsible for the production stability for big data development and governance systems.
  • Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation and refinement.
  • Maintain services once they are live by measuring and monitoring availability, latency and overall system health. Practice sustainable incident response and blameless postmortems.
  • Establish best engineering practice for engineers as well as non-technical people.
  • Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.

Qualifications:

  • Minimum Qualifications
  • Bachelor's degree in Computer Science, a related technical field involving software or systems engineering, or equivalent practical experience.

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  • Experience with site reliability engineering, monitoring, alerting for big data related systems.

  • Experience writing code in Java, Go, Python or a similar language.

  • Preferred Qualifications

  • Knowledge about a variety of strategies for ingesting, modeling, processing, and persisting data, ETL design, job scheduling and dimensional modeling.

  • Familiarity with running production grade services at scale and understanding cloud native technologies and networking.

  • Experience developing tools and APIs to reduce human interaction with systems and applications using a variety of coding and scripting standards.

  • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems is a plus (Hadoop, M/R, Hive, Spark, Presto, Flume, Kafka, Click House, Flink or comparable solutions).

  • Systematic problem-solving approach, coupled with effective communication skills and a sense of drive.

Client-provided location(s): Singapore Job ID: Tik Tok-7503755178526902546Employment Type: OTHERPosted: 2025-05-29T00:32:45Apply on company site

Perks and Benefits

Health and Wellness

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • HSA
  • Life Insurance
  • Fitness Subsidies
  • Short-Term Disability
  • Long-Term Disability
  • On-Site Gym
  • Mental Health Benefits
  • Virtual Fitness Classes

Parental Benefits

  • Fertility Benefits
  • Adoption Assistance Program
  • Family Support Resources

Work Flexibility

  • Flexible Work Hours
  • Hybrid Work Opportunities

Office Life and Perks

  • Casual Dress
  • Snacks
  • Pet-friendly Office
  • Happy Hours
  • Some Meals Provided
  • Company Outings
  • On-Site Cafeteria
  • Holiday Events

Vacation and Time Off

  • Paid Vacation
  • Paid Holidays
  • Personal/Sick Days
  • Leave of Absence

Financial and Retirement

  • 401(K) With Company Matching
  • Performance Bonus
  • Company Equity

Professional Development

  • Promote From Within
  • Access to Online Courses
  • Leadership Training Program
  • Associate or Rotational Training Program
  • Mentor Program

Diversity and Inclusion

  • Diversity, Equity, and Inclusion Program
  • Employee Resource Groups (ERG)

Company Videos

Hear directly from employees about what it is like to work at Tik Tok.
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Next Up Tik Tok Client Provided Video 101:20

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  • 02:18Working at Tik Tok- Get Ready With Ali01:20Tik Tok Client Provided Video 100:33Client Provided Video 2 - Tik Tok02:07Working at Tik Tok
  • Limitless Possibilities01:41Working at Tik Tok
  • Women's Community01:31Working at Tik Tok
  • Women's Empowerment01:45Working At Tik Tok
  • BLXCK01:27Working at Tik Tok
  • Diversity, Equity and Inclusion with BLXCK
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About TikTok

TikTok

TikTok

Late Stage

A short-form video entertainment app and social network platform

10,001+

Employees

Los Angeles

Headquarters

$220B

Valuation

Reviews

3.1

3 reviews

Work Life Balance

1.5

Compensation

2.0

Culture

1.2

Career

1.8

Management

1.0

5%

Recommend to a Friend

Pros

Limited positive feedback available

Company size allows for potential opportunities

Technology platform experience

Cons

Mass layoffs and poor handling of terminations

Unprofessional management and HR behavior

Exposure to traumatic content without adequate support

Salary Ranges

52 data points

Senior/L5

Senior/L5 · Access Assurance Lead

1 reports

$331,500

total / year

Base

$255,000

Stock

-

Bonus

-

$331,500

$331,500

Interview Experience

4 interviews

Difficulty

3.5

/ 5

Duration

21-35 weeks

Experience

Positive 0%

Neutral 25%

Negative 75%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Interviews

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Data Structures