Tookitaki builds FinCense, a financial crime detection platform used by banks and payment providers across Asia-Pacific. The platform combines real-time fraud prevention with anti-money laundering (AML) transaction monitoring, processing millions of transactions daily.
We are looking for an engineer to design and build core platform capabilities across real-time scoring, shared data infrastructure, network analysis, and AI-assisted investigation. You will work on detecting complex financial crime patterns across large-scale transaction networks, where adversaries actively adapt to evade detection.
This is a high-ownership engineering role with direct product influence. The work spans real-time systems, data infrastructure, network analysis, and AI-assisted workflows — you will focus on the areas that match your strengths.
Projects You'll Own
You will take ownership of projects across these areas, based on your strengths:
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Real-time and batch data processing pipelines at scale
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Shared platform infrastructure — feature computation, entity resolution, state management
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Graph and network analysis systems
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AI agent workflows for operational automation
Across all of these, you will own features end-to-end and have direct input on architecture decisions.
Requirements
Engineering
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Robust programming fundamentals with proficiency in at least one backend language used in production systems
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Experience building data-intensive systems at scale — streaming, batch, or distributed computing in production
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Solid understanding of system design: data flow architecture, state management, API design, performance trade-offs
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Clean, testable, maintainable code. You optimise for simplicity and correctness.
Product & Problem Solving
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You consider user impact when making technical decisions
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You can identify high-leverage work that reduces operational burden