Full Stack Engineer (Senior) - Fintech / B2B

Type: Global business with operations in over 100+ countries

Our client is a fintech building the infrastructure that moves data reliably at scale. If you want to be part of a Regional business that operates lean fast, and product-led — engineers here own outcomes, not tickets.

We're hiring a Full Stack Engineer to own core services end to end, not just ship features within someone else's system. This role is leaning towards more backend than frontend.

What you'll own

• Design, build, and own backend services — you're accountable for their reliability, performance, and maintainability, not just the code you commit
• Make architectural decisions in your domain and drive technical direction for your squad without needing to be told what to build
• Ship to production continuously — we review PRs same-day and value velocity over process
• Raise the bar around you: mentor mid-level engineers, run design reviews, and push back on bad technical calls with evidence and alternatives
• Own your services in production, including on-call for your area

What we're looking for

• 5+ years of backend engineering, with a track record of owning a service or system end to end (not only features within one built by others)
• Strong Python (or a comparable backend language you can point to in production)
• Solid AWS and distributed-systems fundamentals — you've designed for scale and can talk through the trade-offs you made
• You've made architectural decisions the team actually adopted, and you can explain why
• Clear communicator — you can articulate technical decisions to non-technical stakeholders
• Preferred industry background: fintech, B2B infrastructure, payments, prediction markets or another high-reliability, data-intensive domain. If you've worked where speed and precision genuinely matter, that's what we're after.

Nice to have

• Experience in a consumer or B2B product company at meaningful scale
• AI-native workflow — you use AI tools in your day-to-day and have shipped or experimented with AI-powered features
• Exposure to event-driven architectures, high-throughput data pipelines, or financial-grade systems