Senior Software Engineer, Data and AI Infrastructure

📋 Job Overview

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.

🏢 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.

🎯 The Role

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.

✅ Key Responsibilities

• 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.

📌 Required Qualifications

• 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.
• A solid understanding of distributed-systems concepts, including availability, consistency, fault tolerance, backpressure, and horizontal scalability.

🎁 Benefits

• Base salary range: $150K – $245K
• Eligibility for annual bonuses
• US-based employees eligible for medical, dental, and vision insurance
• 401(k) plan
• Short-term and long-term disability
• Basic life insurance
• Well-being benefits
• 20 paid days of vacation per year
• 12 paid days of company holidays per year