10 hours ago
Seoul, Korea, SouthSenior
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 Kafka, Spark, and Flink.
- Build AI infrastructure including gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
- Develop self-service platform capabilities that let data, AI, and application teams deploy and operate workloads independently.
- Partner across engineering disciplines to translate data and AI requirements into durable platform capabilities.
- Improve the scalability, reliability, efficiency, visibility, and cost management of data and AI infrastructure.
Requirements
- 5+ years of experience in DevOps, SRE, or platform engineering owning production systems end to end.
- 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 or model-routing platforms.
- Hands-on experience with at least one major public cloud platform: 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 and experience writing maintainable production software.
- Understanding of distributed-systems concepts including availability, consistency, fault tolerance, backpressure, and horizontal scalability.
- Experience operating critical infrastructure with infrastructure-as-code, automated delivery, and modern observability practices.
- Strong debugging, communication, collaboration, and ownership skills.
- Especially valuable experience includes internal developer platforms, SGLang, vLLM, NVIDIA Triton Inference Server, GPU scheduling, model parallelism, inference optimization, cost efficiency, and relevant open-source contributions.
Benefits
- The role is based in Seoul, South Korea.
- The position offers the opportunity to work across application, data, machine learning, security, and infrastructure teams on high-impact data and AI infrastructure.
Tech Stack
Categories
About Airwallex
Airwallex builds a global payments and financial operations platform for businesses, offering payment acceptance, multi-currency accounts, FX and transfers, card issuing, treasury and spend management via APIs and web apps. It monetizes through transaction and foreign-exchange fees and related account services. Founded in Melbourne in 2015 and privately held, the company serves customers worldwide, with notable users including Brex, Canva and Qantas.