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Staff Software Engineer, Ops Efficiency

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Airwallex

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Location:
Singapore , Singapore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Ops Efficiency team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. We build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of our internal operations.

Job Responsibility:

  • Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience
  • Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities
  • Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions
  • Participate in architectural discussions and code reviews, contributing to high-quality engineering standards
  • Continuously improve system reliability, performance, and scalability
  • Serve as a technical role model for junior team members and support their technical growth when needed

Requirements:

  • Bachelor’s degree in Computer Science or related fields
  • At least 5+ years of software engineering experience
  • Strong ability to quickly understand complex business processes and propose effective technical solutions
  • Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders
  • Solid software engineering skills, with experience in backend development using Kotlin or Java
  • Hands-on experience in building scalable, robust automation or workflow systems
  • Self-driven and proactive in identifying problems and driving improvements

Nice to have:

  • At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead
  • Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios
  • Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines)
  • Experience mentoring or guiding junior engineers in a technical capacity
  • Previous experience working in fintech, payments, or a fast-paced startup environment
  • Familiarity with compliance, risk control, or onboarding related business domains is a plus

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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