Software Engineer - Credit & Fraud

Qliro Group; Stockholms kommun; On-site; SEK 650,000 - 900,000; Full time

Job summary

Qliro Group is looking for a Software Engineer to join the Credit & Fraud team, shaping the Pay Later platform for scale across the Nordics and beyond. You will work on modernizing systems, AI-driven decisions, and a containerized microservices architecture with emphasis on reliability and auditability.

The role requires 3-5 years of .NET experience, strong C#, and hands-on experience with AWS, Docker, Kubernetes, and cloud-first approaches. A collaborative, fast-paced environment awaits.

Qualifications

• 3-5 years of professional experience with .NET
• Familiar with Windsurf, Claude, or similar AI tooling
• Experience modernizing and migrating legacy systems
• Practical experience with agile engineering methods and best practices
• Strong understanding of system design, data structures, and API development

Responsibilities

• Build the next generation of the credit & fraud platform for Qliro’s Pay Later system
• Scale the platform to operate across multiple markets beyond the Nordics
• Develop and deploy containerized microservices with daily production deployments

Skills

C# / .NET

AI tooling awareness

Legacy modernization

Agile engineering

System design / API development

Tools

AWS

Docker

Kubernetes

Terraform

GitLab

MS SQL Server

DynamoDB

Redis

Job description

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

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.