Senior Software Engineer, Data and AI Infrastructure (AI)

Location: Hybrid role based in Seattle, WA, United States

Company

Airwallex provides unified payments and financial infrastructure for global businesses, combining proprietary software and infrastructure at international scale.

What you will do

• Design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms.
• Develop scalable streaming, batch-processing, and real-time data platforms using Kafka, Spark, and Flink.
• Build AI gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
• Create self-service platform capabilities that allow data, AI, and application teams to deploy and operate workloads safely.
• Partner with application, data, machine learning, security, and infrastructure teams to turn emerging requirements into durable platform capabilities.

Requirements

• 5+ years of experience in DevOps, SRE, or platform engineering with end-to-end ownership of production systems.
• Strong experience designing, operating, and troubleshooting production Kubernetes environments.
• Experience with distributed data infrastructure such as Kafka, Spark, or Flink, or with AI infrastructure such as AI gateways and model-routing platforms.
• Hands-on experience with AWS, Google Cloud, or Microsoft Azure.
• Knowledge of cloud and container networking, distributed-systems concepts, infrastructure as code, automated delivery, and observability.
• Production programming experience with Go, Python, or Java, alongside strong debugging, communication, and ownership skills.

Nice to have

• Experience building internal developer platforms or paved-road workflows.
• Experience with SGLang, vLLM, or NVIDIA Triton Inference Server.
• Knowledge of GPU scheduling, batching, model parallelism, memory management, autoscaling, and inference 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.

Culture & Benefits

• Work in a high-impact environment focused on ownership, first-principles thinking, collaboration, and practical execution.
• Collaborate across multiple engineering disciplines on complex, high-visibility infrastructure problems.
• Build reusable platform capabilities that improve scalability, reliability, efficiency, visibility, and operational effort.
• Develop the technical direction for next-generation data and AI infrastructure.