Senior Software Engineer - Pay Ads & AI Pipelines

Google Inc.

Singapore

On-site

SGD 150,000 - 210,000

Full time

2 days ago
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Job summary

Google Inc. is seeking a Senior Software Engineer for Google Pay Ads to drive Android and iOS experiences via Flutter/Dart, and to design robust data infrastructures. You will collaborate with UX, PM, and engineering teams on scalable solutions, review ad systems written in Java/C++, and contribute to ML pipelines and monitoring.

The role emphasizes leadership, problem solving, and mentoring while delivering high-quality software in Google's fast-paced environment in Singapore.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of software development experience in one or more languages.
  • 3 years of testing, maintaining, or launching software products.
  • 1 year of software design and architecture experience.
  • 1 year of building data infrastructure and solutions (data pipelines, monitoring, visualizations).

Responsibilities

  • Work extensively in a Flutter (Dart) codebase delivering Android and iOS experiences to GPay users.
  • Understand Ad and voucher serving system (Java/C++), recommend and implement improvements to external systems.
  • Understand ads logging and ML pipelines and how to optimize them for our publisher.
  • Use AI development tools to automate and accelerate your work and the team’s operations.
  • Partner with UX and Product Management leads to build new user-facing experiences.

Skills

Flutter (Dart)
Java
C++
Data pipelines
ML pipelines

Education

Bachelor’s degree or equivalent
Master’s degree or PhD in CS or related field (preferred)

Tools

Flutter (Dart)
Java
C++
Data pipelines
ML tooling

Job description

Google Inc. is seeking a Senior Software Engineer for Google Pay Ads to drive Android and iOS experiences via Flutter/Dart, and to design robust data infrastructures. You will collaborate with UX, PM, and engineering teams on scalable solutions, review ad systems written in Java/C++, and contribute to ML pipelines and monitoring.

The role emphasizes leadership, problem solving, and mentoring while delivering high-quality software in Google's fast-paced environment in Singapore.

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