Airwallex
Senior Software Engineer, Data and AI Infrastructure
$150K–$245K
US - Seattle · Hybrid · Senior · Full-time · Posted Sep 17, 2026
- Experience
- 5+ years in DevOps, SRE, or platform engineering.
About the job
Designs, builds, and operates highly available data and AI infrastructure and self-service platforms for engineering teams.
What you'll do
- Build and operate Kubernetes and cloud platforms for streaming, batch, and real-time workloads, including AI gateways and model-routing infrastructure.
- Improve reliability, scalability, efficiency, and cost visibility of production workloads; provide safe self-service capabilities for engineering teams.
- Partner across engineering to develop durable platform capabilities for evolving data and AI requirements.
What they ask for
- 5+ years 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 or AI infrastructure, and hands-on experience with at least one major public cloud platform.
- Proficiency in Go, Python, or Java, plus knowledge of cloud/container networking and distributed-systems concepts.
Nice to have
- Experience building internal developer platforms or paved-road workflows.
- Hands-on experience with SGLang, vLLM, or NVIDIA Triton Inference Server.
Pay
$150K – $245K USD base salary
Tools
Kubernetes, Kafka, Spark, Flink, AWS, Google Cloud, Microsoft Azure, Go
AI focus
Build AI infrastructure, including gateways, model-routing layers, traffic management, rate limiting, authentication, observability, and usage controls.
Model-written summary · the original posting is authoritative