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Airwallex company · OPEN ROLE

Airwallex

Software Engineer, Quality

Singapore · Engineering · AI

Company
Supports businesses' cross-border payments, currency exchange, and card issuing on one platform.
Role
Builds risk detection systems that catch payment fraud.

What you will do

We rewrote the responsibilities and qualifications in plain language instead of copying the original posting.

Responsibilities

  • Build automated tests for risk decisioning flows and wire them into CI/CD.
  • Write automated coverage for the risk flow's key stages: checking new signups (KYC/KYB), assessing merchant risk, scoring transactions, and screening for red flags.
  • Build stable, realistic test data and environments covering fraud, screening, and jurisdiction scenarios.
  • Set up and take ownership of contract tests that catch integration breaks between the risk system and the services connected to it.
  • Build tests that validate region-specific rules and define pre- and post-release quality gates.
  • Champion test design and automation practices and mentor teammates.

What you need

  • Experience as an SDET or test engineer who has built test frameworks from scratch.
  • Skilled at testing backend systems that are large-scale and distributed, including REST APIs, event or message flows, and calls between services.
  • Hands-on with API and end-to-end test automation and CI/CD, plus experience running contract tests and keeping test data and environments in good shape.
  • A strong instinct for reliable testing, valuing consistent data, isolated environments, and fast feedback.
  • Uses AI to generate tests, analyze coverage, and triage failures, and can validate machine learning and LLM-based features.

Good to have

  • Background in risk, fraud prevention, payments, or other regulated industries.
  • Experience testing systems that behave differently by country or region.
  • Familiarity with contract testing tools like Pact and building test data or environment tooling from scratch.
  • Used AI or LLM tools in testing work, or validated machine learning based systems.
  • Experience testing performance and response times on critical paths.
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Checked 2026-10-19

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