Lead Full Stack Engineer - Fintech
Posted Updated 5
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Summary
A hands-on Staff/Lead full-stack role at a fintech company in Singapore: you set technical strategy across platform, APIs, data, and front-end architecture spanning multiple squads, mentor senior engineers, and still ship code. Core stack: Python backend, Angular front-end, AWS, distributed systems.
Staff / Lead Full-Stack Engineer — Fintech · Singapore
infrastructure that moves data reliably at scale.
We're hiring a Staff / Lead Full-Stack Engineer to own systems that span teams, not a single service — the person who changes how engineering works here, not just what it ships.
What you'll own Drive technical strategy for a domain across the full stack — the platform, the API surface, the data layer, the front-end architecture — not just features within one system Own systems that span multiple squads, and be accountable for their reliability, performance, and evolution over time Set technical standards that get adopted across engineering — through RFCs, design reviews, and the decisions others defer to Act as the bridge between product strategy and technical execution: translate ambiguous business problems into concrete architecture Raise the bar around you — mentor senior engineers, unblock other teams, and identify systemic problems before they become incidents Stay hands-on: this is a senior IC seat, not a management role. You still ship.
What we're looking for 7+ years of engineering experience, with a track record of technical influence
across
teams — not just deep ownership of one service Strong across the stack: production depth in a backend language Python and modern front-end Angular, with the judgement to make architecture calls on both sides Solid AWS and distributed-systems fundamentals — you've designed for scale and can talk through the trade-offs, the incidents, and what you'd do differently Evidence you've driven a system-level design decision with org-wide impact, and got buy-in for it You're the engineer other engineers seek out for technical guidance Clear communicator — you can make technical complexity legible to non-technical stakeholders, including leadership Preferred industry background: fintech, B2B infrastructure, payments, credit, treasury or another high-reliability, data-intensive domain. If you've built where correctness and uptime genuinely matter, that's what we're after.
Nice to have AI-native engineer.
You've built processes around AI, not just used the tools. Two signals we care about:
AI-assisted development
— you've used AI to genuinely optimise how your team ships (faster delivery, better quality, less operational toil), with a concrete before/after; and
AI in the product
— you've built self-sufficient AI agents or agentic workflows that do real work in production, not demos. Experience defining architecture across both consumer and B2B surfaces at meaningful scale Exposure to event-driven architectures, high-throughput data pipelines, or financial-grade systems
Why this role Genuine scope from day one — this is a seat where you set direction across the org, not inherit a backlog A high-trust, low-bureaucracy engineering culture where the best technical argument wins
What you'll own Drive technical strategy for a domain across the full stack — the platform, the API surface, the data layer, the front-end architecture — not just features within one system Own systems that span multiple squads, and be accountable for their reliability, performance, and evolution over time Set technical standards that get adopted across engineering — through RFCs, design reviews, and the decisions others defer to Act as the bridge between product strategy and technical execution: translate ambiguous business problems into concrete architecture Raise the bar around you — mentor senior engineers, unblock other teams, and identify systemic problems before they become incidents Stay hands-on: this is a senior IC seat, not a management role. You still ship.
What we're looking for 7+ years of engineering experience, with a track record of technical influence
across
teams — not just deep ownership of one service Strong across the stack: production depth in a backend language Python and modern front-end Angular, with the judgement to make architecture calls on both sides Solid AWS and distributed-systems fundamentals — you've designed for scale and can talk through the trade-offs, the incidents, and what you'd do differently Evidence you've driven a system-level design decision with org-wide impact, and got buy-in for it You're the engineer other engineers seek out for technical guidance Clear communicator — you can make technical complexity legible to non-technical stakeholders, including leadership Preferred industry background: fintech, B2B infrastructure, payments, credit, treasury or another high-reliability, data-intensive domain. If you've built where correctness and uptime genuinely matter, that's what we're after.
Nice to have AI-native engineer.
You've built processes around AI, not just used the tools. Two signals we care about:
AI-assisted development
— you've used AI to genuinely optimise how your team ships (faster delivery, better quality, less operational toil), with a concrete before/after; and
AI in the product
— you've built self-sufficient AI agents or agentic workflows that do real work in production, not demos. Experience defining architecture across both consumer and B2B surfaces at meaningful scale Exposure to event-driven architectures, high-throughput data pipelines, or financial-grade systems
Why this role Genuine scope from day one — this is a seat where you set direction across the org, not inherit a backlog A high-trust, low-bureaucracy engineering culture where the best technical argument wins
