Senior Software Engineer, Data and AI Infrastructure (AI)

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

Salary: $150,000–$245,000 annually, plus potential bonus and other compensation.

Company

Airwallex provides AI-native financial infrastructure for global payments, financial operations, and financial product development.

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 across application, data, machine learning, security, and infrastructure disciplines to turn emerging requirements into durable platform capabilities.

Requirements

• Hybrid work in Seattle, WA is required.
• 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.
• Experience with a major public cloud platform, cloud and container networking, infrastructure-as-code, automated delivery, and observability.
• Production programming experience in Go, Python, or Java, plus strong distributed-systems, debugging, and cross-functional collaboration skills.

Nice to have

• Platform engineering 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.
• Open-source contributions related to infrastructure, data platforms, Kubernetes, or AI serving.

Culture & Benefits

• Work with engineering teams across application, data, machine learning, security, and infrastructure functions.
• US-based employees receive medical, dental, and vision insurance, a 401(k) plan, disability and life insurance, and well-being benefits.
• US-based employees receive 20 paid vacation days and 12 paid company holidays annually.
• Additional compensation may include bonuses, commissions, RSUs, or other applicable awards.