Senior Software Engineer, Data and AI Infrastructure

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