Senior Software Engineer, Data Platform & AI Enablement

Compensation

• $180K – $240K • Offers Equity • Offers Bonus

Airwallex promotes fair compensation practices in accordance with applicable national, federal, state, and local law.

These expected base pay ranges are based on information at the time this post was generated and represent the company’s good faith minimum and maximum ranges for this role at the time of posting.

The actual compensation offered to a candidate will be dependent upon multiple factors, including but not limited to relevant experience, skills and other qualifications, geographic location as noted, internal equity, and other external market factors.

Certain roles may be eligible for other compensation including, but not limited to, annual bonuses, commissions, RSUs, or other forms of compensation in addition to the established salary range.

Benefits vary by country and employment type in accordance with local statutory requirements. All employees receive at least the statutory minimum for paid annual leave and public holidays, with many of our locations offering additional company-provided vacation days.

For example, for US-based employees, they are eligible to participate in medical, dental, and vision insurance, a 401(k) plan, short-term and long-term disability, basic life insurance, and well-being benefits. US-based employees also receive 20 paid days of vacation and 12 paid days of company holidays in a calendar year.

Further details about our compensation and benefits package are available upon request by contacting our Talent Acquisition team.

How you'll make impact

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 work from our Seattle office three days a week.

What we're looking for

Essentials

• 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.

Learn more about your team

The Knowledge Platform sits at the foundation of Airwallex’s Data and AI strategy. We are evolving traditional data infrastructure into knowledge infrastructure,turning structured and unstructured information into trusted, reusable context that helps people and AI systems make better decisions and take action.

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.