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Backend Software Engineer (Aeolus) - Data Platform

TikTok

Backend Software Engineer (Aeolus) - Data Platform

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Professional development budget

Comprehensive health, dental, and vision insurance

Competitive salary and equity package

Generous paid time off and holidays

Parental leave

Learning

Healthcare

Equity

Parental Leave

Required Skills

TypeScript

JavaScript

React

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:

Aeolus is an in-house analytics platform that is heavily used by more than 130,000 employees globally. It integrates data from various data sources into the platform. It facilitates the cleaning, shaping, and organisation of data in a visualised way before it can be analysed. It stores them in an optimal way so that queries over billions of rows of data can be done within seconds. It organises results on dashboards with powerful charts and tables to drill down so that insights can be revealed in an effective way.

We are building something cool with AI agents integrated into the traditional data platform, revolutionizing how users interact with and derive insights from their data. We are passionate about building the best data analytics platform in the world and are looking for top-notch software engineers to join the talented team!

Responsibilities:

  • Design and implement a powerful and easy-to-use data integration system.
  • Design and implement AI-powered features to enhance data analysis capabilities, including natural language querying and automated insights generation.
  • Develop LLM agents to assist users in data exploration, query formulation, and report generation.
  • Integrate LLM to enable conversational analytics and intelligent data insights
  • Segment and design system layers to support componentized and layered application development, including business functionality and database access.
  • Work with other engineers, managers, Product Management, QA, and Operations teams to develop innovative solutions that meet market needs with respect to functionality, performance, scalability, reliability, realistic implementation schedules, and adherence to development goals and principles.
  • Estimate engineering effort, plan implementation, and rollout of system changes.
  • Independently design code and test major features, as well as work jointly with other team members to deliver complex changes.
  • Identify technical areas for improvement and make detailed business cases for improvements or new areas of opportunities.
  • Research, design, and develop computer and network software or specialised utility programs.
  • Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

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  • Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
  • Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications:

Minimum Qualifications:

  • Bachelor's Degree in Computer Science or related discipline.
  • At least 2 years of experience in software engineering.
  • At least 2 years of experience in object-oriented design methodology and strong software development skills and expertise in Java.
  • At least 2 years of experience in requirements analysis, design, coding, and unit testing of scalable, distributed, fault-tolerant applications.

Preferred Qualifications:

  • Experience with AI/ML integration in data analytics platforms.
  • Hands-on experience with open-source LLM frameworks such as Lang Chain, Lang Graph, or similar.
  • Experience integrating LLMs with data visualization and analytics platforms.
  • Knowledge of RAG (Retrieval-Augmented Generation) patterns for enhancing LLM responses with real-time data.
  • Experience with fine-tuning or deploying open-source LLMs.
  • Experience with large-scale data-driven systems.
  • Experience or good working knowledge of distributed systems and OLAP databases.
  • Good communication skills to work with global teams.

Client-provided location(s): Singapore

Job ID: Tik Tok-7202797490277009721

Employment Type: OTHER

Posted: 2025-01-19T03:45:44
Apply 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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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

Junior/L3

Junior/L3 · Anti-Fraud Data Analyst

3 reports

$143,750

total / year

Base

$125,000

Stock

-

Bonus

-

$126,500

$163,300

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