Senior Software Engineer (Data Platform & AI Enablement)

Location: US - Seattle; hybrid attendance with three days per week in the Seattle office

Salary: $180K–$240K, plus equity and bonus

Company

Airwallex builds an AI-native financial operating system and global payments infrastructure used by more than 675,000 businesses.

What you will do

• Architect and build foundational storage, high-availability service layers, and distributed infrastructure.
• Lead technical decisions and custom development for high-performance systems supporting real-time AI enablement and global financial data.
• Improve state management, checkpointing, memory management, performance, and exactly-once processing semantics.
• Build and integrate the Knowledge Platform, including vector indexing, agentic workflows, and real-time data streaming.
• Own the software development lifecycle for batch and streaming systems processing petabytes of data across 30+ global regions.
• Develop shared tooling, SDKs, and automation frameworks while mentoring engineers through design reviews and technical guidance.

Requirements

• 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms.
• Strong 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, 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.
• Technical leadership through architecture decisions, design reviews, or mentorship.
• Curiosity about AI/ML infrastructure and real-time systems, focused on tangible business impact.

Culture & Benefits

• Full-time employment in a product engineering organization focused on ownership, accountability, and high engineering standards.
• Opportunity to own the roadmap, work through ambiguity, and simplify complex technical problems.
• Work on data and AI infrastructure spanning structured and unstructured data, knowledge retrieval, model infrastructure, agent capabilities, governance, permissions, and freshness frameworks.
• Compensation includes equity and bonus.

Hiring process

• Apply only through careers.airwallex.com or Airwallex’s official LinkedIn page.
• Official communication comes from an @airwallex.com email address; Airwallex does not request bank details, sensitive ID numbers, or payment during hiring.
• Unsolicited resumes from search firms or recruiters are not accepted.