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Airwallex

Runs global payments and accounts for businesses

Senior Software Engineer - Data and AI Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA$150k - $245k /yr

About the Job

Requirements

  • At least 5 years in DevOps, site reliability engineering, 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 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: identify important problems, drive them to resolution, and improve the underlying system rather than treating symptoms.

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 AI infrastructure including gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
  • Improve the scalability, reliability, efficiency, and cost visibility of production data and AI workloads.
  • Build self-service capabilities that help data, AI, and application teams deploy and operate workloads safely and independently.
  • Partner across engineering to turn emerging data and AI requirements into durable platform capabilities.
  • Deliver technical foundations for the next generation of data and AI infrastructure.
  • Drive platform capabilities that help engineering teams operate critical workloads with greater independence.

Desired Qualifications

  • 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.

About the Company

Airwallex

Runs global payments and accounts for businesses

Airwallex runs a financial platform for businesses that sell, buy and operate across borders, from startups to large enterprises. Its multi-currency accounts let customers receive and hold money locally, then pay overseas suppliers without converting every sale into their home currency. Businesses also use its corporate cards and expense controls to manage spending, while online sellers accept customer payments through its checkout tools. Finance teams work in a web app, and developers embed the services in other software; Airwallex earns transaction fees and charges for paid software plans. Founded in Melbourne in 2015, Airwallex has dual headquarters in Singapore and San Francisco.

Company size
1,001-5,000
Company stage
Series H
Total funding
$1.7B
Headquarters
Singapore, Singapore
Founded
2015

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