Fynder Talent Hiring! Full Time Lead Full Stack Engineer - Fintech in - Ricebowl

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