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Tazapay is seeking a Principal Engineer to define and scale our global payments platform. You will lead architectural decisions, drive distributed systems design, and mentor senior engineers across multiple squads.
You will stay hands-on in critical components, shape engineering practices, and collaborate with product and business leaders to translate complex requirements into reliable, scalable systems for high-volume cross-border payments.
Tazapay is a global cross-border payment platform that enables businesses to seamlessly transact across fiat and stablecoins. With a robust Pay-in and Pay-out network spanning multiple geographies, Tazapay offers unparalleled flexibility in payment methods, including named virtual accounts, alternative payment methods (APMs), and stablecoins. Licensed in Singapore, Canada, USA and Australia, Tazapay provides a fully compliant and transparent payment infrastructure that allows businesses to offer fiat and stablecoin-based transactions to their underlying clients. Its platform ensures effortless onboarding of merchants while also supporting white-label solutions, empowering businesses to scale their global payments without operational complexity.
With Tazapay, enterprises can bridge the gap between traditional finance and digital assets, ensuring interoperability, compliance, and seamless cross-border transactions at scale. We are passionate about building reliable, secure, and cutting-edge payment solutions that empower businesses.
We are looking for a Principal Engineer to help define and scale the next generation of Tazapay’s global payments platform. The platform supports high-volume global payment flows across multiple currencies (fiat, stablecoins, and cryptocurrencies) and geographies. This is a hands‑on technical leadership role focused on solving complex distributed systems problems in areas such as payment orchestration and routing, cross-border settlement, financial ledgers, treasury management, fraud detection, AML and stablecoin infrastructure. A key part of this role will be helping evolve our engineering practices toward AI‑assisted software development and identifying where AI‑driven capabilities can improve our platform. This role requires a strong combination of deep technical expertise, pragmatic system design, and the ability to influence teams across the engineering organization.