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Senior Software Engineer, Data and AI Infrastructure

Airwallex· Engineering
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Hybrid (US - Seattle)$150k - $245k + bonusFull-timePosted 4w ago

About the role

Design, build, and operate highly available data and AI infrastructure on Kubernetes and public cloud platforms, delivering scalable platforms for streaming, batch processing, and real-time data workloads and AI infrastructure including gateways, model-routing, and observability.

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, while building 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 the technical foundations for the next generation of data and AI infrastructure.
  • Drive platform capabilities that help engineering teams operate critical workloads with greater independence.

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.
  • 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.

Skills

Required:KubernetesDistributed data infrastructurePublic cloudNetworkingProgramming

Benefits

  • “At least the statutory minimum for paid annual leave and public holidays, with many locations offering additional company-provided vacation days.”
  • Medical, dental, and vision insurance (US-based)
  • 401(k) plan (US-based)
  • Short-term and long-term disability (US-based)
  • Basic life insurance (US-based)
  • Well-being benefits (US-based)
  • 20 paid days of vacation and 12 paid days of company holidays in a calendar year (US-based)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About Airwallex

Trusted Global Payments & Financial Platform

Grow your business faster with Airwallex - global business accounts, high speed transfers, multi-currency cards, online payments, embedded finance, and more.

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