Klarna Tech Stack

AI-powered payments and commerce network processing millions of daily transactions

Software Development Stockholm 1,001–5,000 employees Founded 2005 Privately Held

Klarna operates a global payments platform serving over 118 million shoppers and nearly 1 million merchant partners, processing 3.4 million transactions daily. The tech stack—TypeScript, Node.js, React, Kafka, AWS, Python, Java, and ML libraries (scikit-learn, LightGBM)—reflects a payments-grade infrastructure handling real-time fraud detection and credit decisioning at scale. Engineering-heavy hiring (26 headcount) paired with substantial data (18) and security (8) teams signals ongoing investment in risk models and fraud prevention, while active projects on real-time payment decisioning, consumer credit scoring, and AML monitoring reveal the core operational challenges at payments volume.

Tech Stack 113 technologies

Core StackFigma Cursor TypeScript Node.js JavaScript React React Native Redux Express.js Kafka AWS Splunk Datadog Jenkins Docker GraphQL Python Java .NET Go scikit-learn GitHub SageMaker AWS Lambda REST API SQL R REST OAuth LightGBM+82 more

What Klarna Is Building

◆Challenges

Identifying emerging fraud threats
Monitoring credit risk
Staying ahead of emerging financial crime trends
Mitigating aml risks
Monitoring fraud risk performance
Unnecessary transformation layers
Capital and liquidity monitoring
Real-time fraud decisioning
Improving risk processes
Fairness standards

▲Active Projects

Business plans with partners
Real-time pd models
Lead routing
Data-driven fraud risk management
Consumer-level credit scoring
Real-world attack scenario design
Offensive security tool development
Rfp generation
Contract analysis automation
Analysis of aml metrics

Hiring Activity

Accelerating100 roles · 55 in 30d

Department

Engineering

Data

Sales

Finance

Ops

Security

Compliance

Support

Seniority

Senior

Manager

Mid

Lead

Principal

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About Klarna

Klarna is a fintech payments platform connecting consumers with merchants through flexible payment options—full payment, deferred, or installment financing. The company processes transactions for major retail partners across apparel, travel, luxury, grocery, and other verticals. Operating across 11 countries with engineering centers in Stockholm, London, New York, Berlin, and others, Klarna combines payments infrastructure with machine learning for fraud risk management, credit underwriting, and merchant marketing solutions. The platform layers real-time payment decisioning, consumer-grade credit assessment, and compliance monitoring (AML, regulatory reporting) on top of core transaction processing.

HeadquartersStockholm

Company Size1,001–5,000 employees

Founded2005

Hiring MarketsSweden, United States, Italy, Germany, United Kingdom, Poland, Portugal, France

Frequently Asked Questions

What tech stack does Klarna use for payment processing?

Klarna runs TypeScript, Node.js, React, Kafka, and AWS as primary infrastructure, with Python and Java for backend services. ML models use scikit-learn and LightGBM. Monitoring is handled by Splunk and Datadog; Jenkins manages CI/CD and Docker containerization.

Where does Klarna have offices and hire?

Klarna is headquartered in Stockholm and has offices in Stockholm, London, New York, Berlin, and additional cities. Active hiring spans Sweden, United States, Italy, Germany, United Kingdom, Poland, Portugal, France, Australia, Canada, and Switzerland.