Airwallex
Senior Software Engineer, Data and AI Infrastructure
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · US - Seattle
Employer listed it 6 days ago · Found 5h ago
First listed 6 days ago and still open.
Salary
$150,000 to $245,000
Location
Hybrid · US - Seattle
Timezone
Not stated
Contract
Full-time
Experience
Senior
Category
Software
Published by the employer
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around US - Seattle, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "US - Seattle, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
About Airwallex
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
Attributes We Value
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles . You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
About the role and team.
We are looking for a Senior Software Engineer to build the infrastructure that powers our data and AI platforms.
You will design and operate distributed systems that support high-throughput data processing, real-time workloads, and production AI applications. This includes evolving our Kubernetes and cloud foundations, improving the reliability and scalability of platforms such as Kafka, Spark, and Flink, and building infrastructure for AI traffic management and model serving.
This is a high-impact role for an engineer who enjoys solving complex infrastructure problems, writing production software, and giving other engineering teams reliable self-service platforms. You will work across application, data, machine learning, security, and infrastructure teams to establish the technical foundations for the company’s next stage of growth.
This is a hybrid role based in Seattle, WA .
What You’ll Do
Design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms.
Develop scalable platforms for streaming, batch processing, and real-time data workloads using technologies such as Kafka, Spark, and Flink.
Build and evolve AI infrastructure, including AI gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
Develop self-service capabilities that enable data, AI, and application teams to deploy and operate workloads safely and independently.
Partner with engineering teams to translate emerging data and AI requirements into durable platform capabilities.
What We’re Looking For
5+ years in DevOps, SRE, or platform engineering, owning production systems end to end
Strong experience designing, operating, and troubleshooting production Kubernetes environments.
Experience building or operating distributed data infrastructure with technologies such as Kafka , Spark , or Flink OR experience developing AI infrastructure such as AI gateways or model-routing platforms.
Hands-on experience with at least one major public cloud platform, such as AWS, Google Cloud, or Microsoft Azure .
Strong knowledge of cloud and container networking, including DNS, load balancing, ingress, service discovery, TLS, routing, and network security.
Proficiency in one or more of Go , Python , or Java , with experience writing maintainable production software.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Airwallex, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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