At Klarna, we’re building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else — you’ll build with AI, not watch it happen.
Being an engineer at Klarna means building and owning the systems that move money for millions of people — and that responsibility doesn’t end when those systems ship. Your team and your focus can also change as the business changes, and the domain you join may look different in a year. Either way, this stays a hands-on role: you’re still writing code, still making architecture calls, still in the codebase, and your influence comes from the quality of that work and the engineers you work most closely with.
You’ve built something we haven’t. You’ve gone deep somewhere we haven’t been yet. what they don’t have is your specific experience, and that’s exactly the gap we’re hiring into.
Think past your own contribution: how it fits the wider architecture, where failures propagate, what breaks first under load, and who feels it downstream.
Design for the constraints that come with being a regulated bank - reliability, auditability, controls - and treat them as part of the engineering problem rather than an obstacle to it.
Mentor engineers and raise the technical bar across teams. You act as a multiplier and elevate the people and teams around you, not just your own output.
Set the standard for how your domain uses AI in everyday practice - not as a demo, as a working method.
You bring a capability Klarna doesn’t have today. Your experience doesn’t just improve what’s already there - it unlocks something new entirely.
You have built and operated systems with real reliability and performance demands at scale, ideally in Java, JavaScript, or Python environments.
You make trade-offs and can articulat
📌 Lead Engineer (Italia)
🏢 Klarna
📍 Italia