> Markdown version of [/jobs/ext/3873662-senior-software-engineer-data-platform-ai-enablement](https://www.wearedevelopers.com/jobs/ext/3873662-senior-software-engineer-data-platform-ai-enablement). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Data Platform & AI Enablement - **Company:** Airwallex US, LLC - **Location:** Seattle, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Custom Software, Data Infrastructure, Distributed Systems, Memory Management, Information Retrieval, Online Analytical Processing, Network Protocols, Performance Tuning, Real-Time Operating Systems, Software Engineering, Data Processing, Real Time Systems, Apache Spark, Indexer, Agentic-AI, Kotlin, Kubernetes, Apache Flink, Apache Kafka, Machine Learning Operations, Vertica, Stream Processing, Stream Analytics, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-software-engineer-data-platform-ai-enablement-seattle-wa--01ce6101-655d-40e6-a488-c7ec4dad97c4 ## About the Role Software Engineering, Artificial Intelligence (AI), Financial Operations, Artificial Intelligence (AI), Financial Systems, Realtime Operating System, Global Financial Markets, Data Processing, Systems Administration/Management, Distributed Computing, * 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms. * Strong understanding of computer science fundamentals, including distributed systems, memory management and networking protocols. * Proficiency in Java, Kotlin or Go. * Hands-on experience with, or a strong desire to work deeply in, technologies such as Kafka, Flink, Spark, Kubernetes or OLAP engines. * Experience taking complex technical challenges from initial design through production stability. * Experience with performance tuning and systems internals, including state management, checkpointing and exactly-once semantics. * A track record of providing technical leadership through architecture decisions, design reviews or mentorship. * Curiosity about AI/ML infrastructure and real-time systems, with a focus on creating tangible business impact. You'll thrive here if * You're comfortable owning the roadmap yourself. * You're comfortable with ambiguity. Give you a problem, not a prescription, and you'll run with it. * You hold yourself to a high standard even when no one is watching. Quality and accountability aren't external expectations, they're internal ones. * You connect dots across functions and hold the big picture without losing grip on the details. * You simplify complexity rather than hiding behind it. ## Description The Knowledge Platform is building the infrastructure that connects Airwallex's data, real-time systems and AI capabilities. You'll help create the distributed foundations that enable reliable data processing, intelligent products and global financial infrastructure. * Architect and build core infrastructure components, from foundational storage through high-availability service layers. * Lead technical decisions and custom development for high-performance distributed systems supporting real-time AI enablement and global financial data. * Improve system performance across state management, checkpointing, memory management and exactly-once semantics, helping deliver accurate, low-latency processing at scale. * Build and integrate the Knowledge Platform, including scalable vector indexing, agentic workflows and real-time data streaming. * Own the full software development lifecycle for batch and streaming systems processing petabytes of data across 30+ global regions. * Raise engineering quality through shared tooling, SDKs and automation frameworks that improve productivity across engineering. * Mentor engineers through design reviews, technical guidance and delivery leadership., You'll build the platform end to end, from core technologies such as Databricks, Clickhouse, Spark, and Kafka to real-time analytics, knowledge retrieval and indexing, model infrastructure, agent capabilities, and AI interaction history. You'll also develop the evaluation, annotation, feedback, governance, permission, and freshness frameworks required to operate AI reliably at global financial scale. Our mission is making this ecosystem truly agent-ready. That means enabling teams to explore data through natural language, investigate business drivers in real time, and give AI systems secure access to the context and capabilities they need to support decisions and execute workflows. If you want to build the foundation that turns Airwallex's data into knowledge, knowledge into intelligence, and intelligence into measurable business impact, this is where that work happens.