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JobsTikTok

iOS Software Engineer, TikTok Live Payment (Platform-Mobile)

TikTok

iOS Software Engineer, TikTok Live Payment (Platform-Mobile)

TikTok

Singapore

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Team events and activities

Professional development budget

Generous paid time off and holidays

Comprehensive health, dental, and vision insurance

Learning

Healthcare

Required Skills

React

JavaScript

Node.js

Responsibilities

Tik Tok Live Platform Mobile team focuses on mobile-end development for the payment related feature direction dedicated to building secure, stable, and seamless payment products. Our goal is to enhance the payment experience for users, ensuring smooth transactions within the Tik Tok ecosystem. Beyond development, we strive to deeply understand our users, identify key opportunities, and prioritize challenges to create innovative user experience solutions. We are looking for experienced iOS engineers to join our team and contribute to the development of iOS native and cross-platform applications that power our payment products.

  • Develop native iOS applications for Tik Tok Wallet and Money Platform, ensuring a secure, stable, and efficient payment experience.
  • Design and implement seamless, high-performance user experiences, ensuring high-quality delivery and system stability.
  • Contribute to the development of infrastructures and engineering solutions that support Tik Tok's business and productivity tools.
  • Optimize collaboration methods to enhance the efficiency of remote and cross-regional communication, accelerating business iteration and growth.
  • Design, implement the new-user features of our mobile application.
  • Collaborate with the design and product teams to create a world-class mobile experience.
  • Optimize mobile applications and user experience on the iOS platforms.
  • Promote robust and maintainable code, clear documentation, and deliver high quality work on a tight schedule.

Qualifications

Minimum Qualifications

  • BS/MS degree in Computer Science or equivalent majors with experience in native iOS development.
  • Proficiency in Swift or Objective-C.
  • Ability to understand and debug large and complex codebases.
  • Good team communication and collaboration skills.
  • Promote robust and maintainable code, clear documentation, and deliver high quality work on a tight schedule.
  • Deep experience in data-driven approaches to understand and improve performance of complex systems.
  • Good experience in developing highly modulized SDK and ensuring quality and stability is highly preferred.

Preferred Qualifications

  • Payment related knowledge (experience in payment or In-App Purchase related features, and Google Play's Billing system integration, etc) is a plus but not mandatory.
  • Minimum 5 years relevant work experience from a large-scale internet business

Total Views

0

Apply Clicks

0

Mock Applicants

0

Scraps

0

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