Senior Software Engineer, Consumer

coinbase singapore pte. ltd.

Singapore

On-site

SGD 180,000 - 240,000

Full time

14 days+

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Job summary

Coinbase Singapore Pte. Ltd. is seeking a Senior Software Engineer for the Onboarding team to build and scale backend services powering user onboarding and KYC across Coinbase products and markets.

You will own backend systems that support rapid expansion while ensuring compliance and reliability, partnering with product, design, and leadership to translate vision into executable roadmaps.

Qualifications

  • 5+ years of professional software engineering experience building, scaling, and maintaining production backend services in a service-oriented architecture.
  • Proven track record designing distributed systems that operate reliably at scale, including experience with cloud-native tooling (Docker, Kubernetes, AWS/GCP).
  • Proficiency in Golang or a similar statically-typed language, with demonstrated ability to write well-tested, production-grade code.
  • Experience owning end-to-end delivery of platform capabilities, from technical design through deployment, monitoring, and iteration.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Responsibilities

  • Own the design, development, and scaling of backend services in Golang that power onboarding and KYC workflows across multiple products and geographies.
  • Build scalable, service-oriented systems using modern cloud infrastructure and industry best practices to solve novel platform challenges.
  • Drive improvements to onboarding and MTU conversion funnels by identifying bottlenecks and shipping data-informed solutions.
  • Partner with engineers, product managers, designers, and senior leadership to translate product and technical vision into quarterly execution roadmaps.
  • Lead cross-cutting design reviews within your product area, ensuring security, operational integrity, and architectural clarity across all features shipped.

Skills

Golang
Distributed systems
Cloud-native tooling
End-to-end delivery
Generative AI

Tools

Docker
Kubernetes
AWS/GCP

Job description

As a Senior Software Engineer on the Onboarding team, you'll build the systems that power user onboarding and KYC across every Coinbase product and market. This team enables Coinbase to launch in new countries and ship new products quickly while meeting compliance and regulatory requirements. You'll own backend services that drive onboarding conversion at global scale and shape the architecture that makes rapid expansion possible.


What you'll do:

  • Own the design, development, and scaling of backend services in Golang that power onboarding and KYC workflows across multiple products and geographies.
  • Build scalable, service-oriented systems using modern cloud infrastructure and industry best practices to solve novel platform challenges.
  • Drive improvements to onboarding and MTU conversion funnels by identifying bottlenecks and shipping data-informed solutions.
  • Partner with engineers, product managers, designers, and senior leadership to translate product and technical vision into quarterly execution roadmaps.
  • Lead cross-cutting design reviews within your product area, ensuring security, operational integrity, and architectural clarity across all features shipped.


Required Skills and Experience:

  • 5+ years of professional software engineering experience building, scaling, and maintaining production backend services in a service-oriented architecture.
  • Proven track record designing distributed systems that operate reliably at scale, including experience with cloud-native tooling (e.g., Docker, Kubernetes, AWS/GCP).
  • Proficiency in Golang or a similar statically-typed language, with demonstrated ability to write well-tested, production-grade code.
  • Experience owning end-to-end delivery of platform capabilities, from technical design through deployment, monitoring, and iteration.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
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