Senior Data Platform & AI Infrastructure Engineer

Airwallex; Seattle (WA); Hybrid; USD 190,000 - 240,000; Full time

Job summary

Airwallex is seeking an experienced Platform Engineer to shape the next-generation, high-performance infrastructure. You will lead architecture decisions, optimize distributed systems, and advance AI-enabled data platforms with real-time streaming across 30+ regions.

Ideal candidates have 5+ years in large-scale systems, strong CS fundamentals, and hands-on experience with Java/Kotlin/Go, Kafka, Flink, Spark, and Kubernetes.

Qualifications

• 5+ years in building and operating large-scale distributed systems or infrastructure platforms.
• Strong CS fundamentals including distributed systems, memory management, and networking.
• Proficient in Java, Kotlin, or Go; hands-on with Kafka, Flink, Spark, Kubernetes, or OLAP engines.
• Demonstrated 0-1 ownership of complex technical challenges from design to production.
• Curious about AI/ML infrastructure and real-time systems and their business impact.

Responsibilities

• Architect andBuild core infrastructure components for high-availability services.
• Perform deep performance tuning and optimize state management, checkpointing, and exactly-once semantics.
• Develop and integrate the Knowledge Platform for AI-driven products with real-time data streaming and vector indexing.
• Own the SDLC for millisecond-scale, petabyte-scale distributed systems across global regions.
• Promote elite software engineering practices, tooling, SDKs, and automation to boost team productivity.
• Mentor mid-level engineers and drive delivery through design reviews and technical leadership.

Skills

Distributed systems

Java

Kotlin

Go

Kafka

Flink

Spark

Kubernetes

OLAP engines

Ownership

AI/ML infra

Education

Bachelor's degree in CS or related field

Tools

Git

Docker

Terraform

Job description

Airwallex is seeking an experienced Platform Engineer to shape the next-generation, high-performance infrastructure. You will lead architecture decisions, optimize distributed systems, and advance AI-enabled data platforms with real-time streaming across 30+ regions.

Ideal candidates have 5+ years in large-scale systems, strong CS fundamentals, and hands-on experience with Java/Kotlin/Go, Kafka, Flink, Spark, and Kubernetes.