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# Senior Software Engineer, Data Platform & AI Enablement

- **Company:** Airwallex US, LLC
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Custom Software, Data Infrastructure, Distributed Systems, Memory Management, Online Analytical Processing, Network Protocols, Performance Tuning, Systems Development Life Cycle, AI Infrastructure, Real Time Systems, Apache Spark, Indexer, Kotlin, Kubernetes, Apache Flink, Apache Kafka, Machine Learning Operations, Stream Processing
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b956432071b09d8c

## About the Role

* Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.
 * First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols.
 * The "Builder" Stack: Are proficient in Java, Kotlin, or Go. You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines.
 * Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability.
 * Curiosity & Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact.

## Description

* Architect & Build: Lead technical decision-making and custom development for core infrastructure components, extending from foundational storage to high-availability service layers.
 * Systems Optimization: Deep-dive into performance tuning and systems internals-such as state management, checkpointing, and exactly-once semantics-to ensure millisecond-level accuracy at global scale.
 * AI Infrastructure: Develop and integrate the "Knowledge Platform," enabling AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming.
 * Distributed Systems at Scale: Own the full SDLC for high-performance distributed systems (batch and streaming) that process petabytes of data across 30+ global regions.
 * Engineering Rigor: Advocate for elite software engineering practices, contributing to shared tooling, SDKs, and automation frameworks that enhance the productivity of engineering teams company-wide.
 * Mentorship: Act as a technical beacon and mentor for mid-level engineers, driving project delivery through design reviews and technical leadership.