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Airwallex

Senior Backend Engineer, Spend Team (Cards)

Airwallex is hiring a Senior Backend Engineer, Spend Team (Cards) for a remote role open to applicants in Singapore. Level rates it ; you can apply on Airwallex.

Level's read on this job

  • Little AI ●○○○ is how Level rates this software engineer role: aI is not part of the work.
  • This is listed as a remote role.
  • Level classes it as a senior role.
  • Airwallex has 506 other open roles on Level.

AI in this role

About Airwallex

Airwallex is the AI-native financial operating system for a real-time, intelligent economy. More than 675,000 businesses, including McLaren Racing, Qantas, SHEIN, and TikTok, use us, directly or through our platform partners, to run their financial operations or build and monetize financial products of their own.

We started in Melbourne in 2015 to build the infrastructure global commerce runs on. We're the regulated backbone behind global payments: not by accident, but by design. A decade plus, 85+ licenses, and a financial infrastructure spanning North America, Europe, the Middle East, and Asia-Pacific.

We're co-headquartered in San Francisco and Singapore, with more than 2,700 people across 27 offices. We hire builders with founder-level energy, people who move fast with good judgment, dig in with real curiosity, and make calls from first principles rather than waiting to be told what to do. Read our operating principles to see it in full.

 

About the team

The Engineering team at Airwallex is a diverse group of innovators, builders, and problem solvers, driven by a mission to empower businesses to operate anywhere, anytime. We thrive in a collaborative and fast-paced environment, where we're constantly pushing the boundaries of what's possible in the financial technology space. As a team, we value technical craftsmanship, continuous learning, and a strong sense of ownership, working together to build scalable, reliable, and secure products that empower businesses of all sizes to grow without borders.

The Cards team at Airwallex builds and maintains distributed systems that enable businesses to issue debit cards and manage expenses at scale. The team addresses complex requirements around compliance, security, and the evolving needs of global users—supporting millions of seamless card transactions and ensuring robust, reliable expense management solutions for companies worldwide.

What you'll do

As a Senior Engineer on the Cards team, you will design and build scalable backend systems that power our card issuance and expense management products. You will collaborate with cross-functional teams to deliver reliable, secure features while mentoring engineers and influencing the technical direction of the platform.

This role is based in Singapore.

Responsibilities

  • Design and implement scalable, secure backend services that power the Cards product.

  • Contribute to the architecture and long-term technical vision of our backend systems.

  • Own end-to-end delivery of new features and improvements—from design to production.

  • Write high-quality, testable code with attention to reliability and maintainability.

  • Promote and uphold engineering best practices, including observability and API design.

  • Collaborate with cross-functional teams including product, infrastructure, and design.

  • Provide technical mentorship and support the growth of other engineers on the team.

Who you are

We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.

Minimum qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.

  • 5+ years of professional software engineering experience.

  • Hands-on experience designing and building backend systems and APIs in production.

  • Strong computer science fundamentals, including algorithms, data structures, and distributed systems.

  • Proficient in at least one backend language (e.g., Java, Kotlin, Go, Python).

  • Solid understanding of REST API design and backend frameworks (e.g., Spring Boot).

  • Experience working with cloud infrastructure (e.g., AWS, GCP) and container orchestration (e.g., Kubernetes).

  • Strong focus on performance, reliability, and code quality.

Preferred qualifications

  • Familiarity with observability and monitoring tools (e.g., Grafana, Prometheus, Splunk).

Applicant Safety Policy: Fraud and Third-Party Recruiters

To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page.

Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary.

Equal opportunity

Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

How we rate this

Senior Backend Engineer, Spend Team (Cards) at Airwallex rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

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$167k

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