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Senior Software Engineer, Data Platform & AI Enablement

airwallexUS - SeattleEngineering
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Salary
$180K – $240K
Job type
Full-time
Work mode
Remote
Experience
Senior · 5+ yrs
Posted
10 Sept 2026
Status
Open · checked 7d ago

About this role

Based in US - Seattle, the Senior Software Engineer, Data Platform & AI Enablement role involves architecting next-generation foundational infrastructure for distributed storage, stream processing, and AI enablement. This position suits experienced software builders with a strong background in large-scale distributed systems and performance optimization.

Role Overview

Airwallex seeks a Senior Software Engineer for its Data Platform & AI Enablement team in Seattle. The platform engineering group focuses on building a high-performance, distributed ecosystem that supports real-time AI enablement and global financial data infrastructure.

Key Responsibilities

Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers.
Conduct deep-dives into performance tuning and systems internals—such as state management, checkpointing, and exactly-once semantics—to ensure millisecond-level accuracy at global scale.
Develop and integrate the Knowledge Platform to enable AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming.
Own the complete software development lifecycle for high-performance distributed systems handling petabytes of data across more than 30 global regions.
Advocate for elite software engineering practices by contributing to shared tooling, SDKs, and automation frameworks.
Act as a technical mentor and beacon for mid-level engineers, guiding project delivery through design reviews and technical leadership.

Requirements

Bring at least 5 years of experience building and operating large-scale distributed systems or infrastructure platforms.
Demonstrate a deep understanding of computer science fundamentals, covering distributed systems, memory management, and networking protocols.
Show proficiency in Java, Kotlin, or Go, along with hands-on experience or interest in the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines.
Possess a proven track record of taking zero-to-one ownership of complex technical challenges from design to production stability.
Display intrinsic motivation to explore emerging technologies in AI/ML infrastructure and real-time systems.

Skills and Tools

Java
Kotlin
Go
Kafka
Flink
Spark
Kubernetes
OLAP engines

Salary and Benefits

The salary range is $180K – $240K, supplemented by offers of equity and bonus.

About the Company

Airwallex operates as an AI-native financial operating system designed for a real-time, intelligent economy, serving over 676,000 businesses globally. Established in Melbourne in 2015, the organization maintains co-headquarters in San Francisco and Singapore with over 2,300 employees spanning 27 offices and holding more than 85 regulatory licenses worldwide.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

JavaKotlinGoKafkaFlinkSparkKubernetesOLAP enginesDistributed Systems

Questions candidates ask

Where is the position located?

The position is located in Seattle, US.

What is the salary and compensation structure?

The salary ranges from $180K to $240K, with additional offers of equity and bonus.

How many years of experience are required?

Candidates must have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.

What programming languages are required?

Proficiency in Java, Kotlin, or Go is required.

How should I submit my application?

Applicants should apply exclusively through the official Airwallex careers page.

Ready to apply?

The application is on the official airwallex careers page.

Apply on company site