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Senior Software Engineer, Data Platform & AI Enablement

Airwallex

Company websiteairwallex.com (Airwallex, opens in new tab)

Base salary $180K  to $240K

Employer-published annual base salary, USD. Advertised base range in Seattle, WA

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  • LocationSeattle, WA
  • WorkplaceHybrid
  • Status at last checkSource accepting applications when checked
  • Last checked (2 h ago) · observed since

About this job

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 2,300 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.

Location: Seattle

Who You Are & Role Overview

The Platform Engineering team is architecting Airwallex’s next-generation foundational infrastructure. We are moving beyond standard pipelines to build a high-performance, distributed ecosystem that powers real-time AI enablement and global financial data.

We aim to push the boundaries of distributed storage, stream processing, and service-layer interfaces. We are looking for "Engineers’ Engineers"—builders who enjoy diving into the internals of distributed systems, optimizing JVM performance, and implementing robust architectural patterns like Lakehouse and real-time data.

In this role, you will:

  • Architect & Build: Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers.

  • Systems Optimization: Deep-dive into performance tuning and systems internals—such as state management, checkpointing, and exactly-once semantics—to ensure millisecond-level accuracy at global scale.

  • AI Infrastructure: Develop and integrate the "Knowledge Platform," enabling AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming.

  • Distributed Systems at Scale: Own the full SDLC for high-performance distributed systems (batch and streaming) that process petabytes of data across 30+ global regions.

  • Engineering Rigor: Advocate for elite software engineering practices, contributing to shared tooling, SDKs, and automation frameworks that enhance the productivity of engineering teams company-wide.

  • Mentorship: Act as a technical beacon and mentor for mid-level engineers, driving project delivery through design reviews and technical leadership.

You might be a great fit if you:

  • Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.

  • First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols.

  • The "Builder" Stack: Are proficient in Java, Kotlin, or Go. You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines.

  • Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability.

  • Curiosity & Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact.

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.

Source: Airwallex on Ashby · View original posting (opens in new tab)

This range next to 6 other live Airwallex roles with the nearest advertised base floor
Chart as a table
This range next to 6 other live Airwallex roles with the nearest advertised base floor
RolePublished base
Senior Software Engineer, Data Platform & AI Enablement (this listing)$180K - $240K
Associate Director, Talent Acquisition (Product & Design)$180K - $240K
Associate Director, Operations Strategy$180K - $220K
Staff Software Engineer, Productivity$180K - $275K
Senior Regulatory Counsel, Americas$180K - $240K
Senior Technical Account Manager$180K - $220K
Senior Counsel, Product Legal (Yield)$180K - $270K

Same $100K to $400K scale as every card. All Airwallex roles · How to read the bar

Observed changes

  1. First observed on the employer's board
  2. Began meeting the published-salary criteria
Observed since
Employer-stated posting date
2026-09-10
Where this pay comes from

Location as the employer wrote it: US - Seattle

USD 180,000 – 240,000 · 1 YEAR · Salary

Method
Structured pay field published by the employer
Checked
Rule set
us-base-v2

The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.

What we verified

  • The pay figures come from the employer's own listing, quoted exactly above.
  • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
  • The role was publicly listed on the employer's job board when last checked.

We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.