Airwallex - Senior Software Engineer, Infrastructure (Data & AI)

• 5+ years in DevOps, SRE, or platform engineering, owning production systems end to end • Strong experience designing, operating, and troubleshooting production Kubernetes environments. • Kubernetes • 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. • Kafka • Spark • Flink • AI gateways • Hands-on experience with at least one major public cloud platform, such as AWS, Google Cloud, or Microsoft Azure. • 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. • Python • 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. • infrastructure-as-code • 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. • 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. • What Success Looks Like • Delivered meaningful improvements to the scalability, reliability, or efficiency of our data and AI infrastructure. • Reduced the operational effort required to deploy and manage data or AI workloads. • Improved visibility into system performance, reliability, capacity, and cost. • Established reusable platform capabilities adopted by engineering teams. • Helped define the technical direction for our next generation of data and AI infrastructure. • Applicant Safety Policy: Fraud and Third-Party Recruiters • To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. • Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. • Equal opportunity • Equal opportunity