Senior Software Engineer, Data and AI Infrastructure

About Airwallex

Airwallex is the AI-native financial operating system for a real-time intelligent economy. More than 676000 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. Were 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.

Were co-headquartered in San Francisco and Singapore with more than 2300 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 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 companys next stage of growth.

This is a hybrid role based in Seattle WA .

What Youll 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 Were 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.

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

• Experience operating critical infrastructure using infrastructure-as-code automated delivery and modern observability practices.

• Strong debugging skills and the ability to work methodically across multiple layers of a complex system.

• Clear communication skills and a track record of collaborating effectively across engineering disciplines.

• An ownership mindset: you identify important problems drive them to resolution and improve the underlying system rather than treating symptoms.

Bonus Points

• Platform engineering experience particularly building internal developer platforms or paved-road workflows used by multiple engineering teams.

• Hands-on experience with serving technologies such as SGLang vLLM or NVIDIA Triton Inference Server.

• Knowledge of GPU scheduling batching model parallelism memory management autoscaling and inference-performance optimization.

• Experience improving the cost efficiency of large-scale data processing or AI inference workloads.

• Contributions to infrastructure data-platform Kubernetes or AI-serving open-source projects.

What Success Looks Like

• Delivered meaningful improvements to the scalability reliability or efficiency of our data and AI infrastructure.

• Reduced the operational effort required to deploy and manage data or AI workloads.

• Improved visibility into system performance reliability capacity and cost.

• Established reusable platform capabilities adopted by engineering teams.

• Helped define the technical direction for our next generation of data and AI infrastructure.

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 @ email address. Please apply only through 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 dont 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.

Required Experience:

Senior IC