Software Engineer - Credit & Fraud
Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 30, 2026. Qliro scores B on the Alion truth index.
What we do at Qliro
At Qliro we deliver safe and simple payments. We are a dedicated partner to our merchants who serve their customers every day. We believe that if our merchants grow, we grow. We are a company of dedicated, friendly and highly competent people that together have redefined what Qliro and payments can be. We are now on a journey of scaling our business both here in Sweden and the Nordics.
What your team does
We are now looking for a Software Engineer to join Credit & Fraud team, the team at the center of Qliro’s Pay Later platform. What we do here shapes whether customers can pay in a way that actually works for them, and whether we protect them from taking on debt they can’t handle. It’s a dual responsibility, and we take both sides seriously.
We’re rebuilding the next generation of this system from the ground up, designed to handle a significant increase in transaction volumes as we scale. Part of what you’ll lead is making this platform ready to operate beyond the Nordics, so the architectural decisions you make now will need to hold up across multiple markets. We’re in the early stages of exploring how AI can help us make better credit and fraud decisions, and we’re honest that this is genuinely complex territory. Credit is one of the most regulated areas when it comes to AI: explainability, fairness, and auditability aren’t optional. We want someone who finds that complexity interesting, not someone who pretends it isn’t there.
Current focus for the team
Processing tens of thousands of credit and fraud checks every day
Running a containerized microservices architecture with daily production deployments
Tech stack: C#, .NET, AWS, Docker + Swarm, Kubernetes, Microservices, Event Driven Architecture, RabbitMQ, Terraform, GitLab, MS SQL Server, DynamoDB, Redis, OpenTelemetry + Grafana, Kibana
What we are looking for
3-5 years of professional experience with .NET, with strong skills in C#
Comfortable using modern AI tooling such as Windsurf, Claude, or similar
Experience in modernizing and migrating legacy systems
Practical experience with agile engineering methods and solid software engineering best practices
Strong understanding of system design, data structures, and API development
A mindset that values speed, correctness, and reliability, especially in microservices and event-driven architectures
It is beneficial if you have experience from:
Working with credit engines, credit decisioning, or similar financial decision systems
Working with AWS or other cloud providers
Working in a team with full platform ownership - including monitoring, infrastructure, CI/CD, and production operations
Does this sound like your next role? What are you waiting for - apply now!
Qliro is an equal opportunity employer. All qualified applicants will be considered for employment without regard to gender, gender identity or expression, national origin, religion or other beliefs, disability, sexual orientation or age.