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Qopla Tech Stack

Restaurant management platform built on scalable event-driven architecture

IT Services and IT Consulting Stockholm, Stockholm 11–50 employees Founded 2018 Public Company

Qopla delivers point-of-sale and operations software to restaurants in the Nordic region. The tech stack reveals a modern, distributed-systems approach: Node.js and React front-end paired with .NET and Java back-ends, running on multi-cloud infrastructure (AWS, Azure, GCP) with Kafka for asynchronous order processing. Active pain points around reliability and scalability—combined with ongoing CI/CD pipeline work—suggest the company is scaling order volume beyond legacy monolithic constraints.

Tech Stack 10 technologies

What Qopla Is Building

Challenges

  • Expanding support team
  • Reliability and scalability challenges
  • Balancing cost and scalability
  • Long-term technical challenges

Active Projects

  • Scalable backend services for ordering
  • Kafka-based asynchronous processing
  • Ci/cd pipeline improvements

Hiring Activity

Steady7 roles · 2 in 30d

Department

Support
3
Engineering
2
Sales
2

Seniority

Mid
5
Senior
2
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About Qopla

Qopla is a Stockholm-based food-tech company founded in 2018 that provides restaurants with point-of-sale and operational efficiency software. The product is built by restaurant operators for restaurant operators, focusing on profit and efficiency gains. The platform handles order management, kitchen workflows, and back-office operations. The team is lean (11–50 employees) with balanced hiring across support, engineering, and sales, primarily recruiting in Sweden. Current technical priorities center on backend scalability for high-order throughput and event-driven processing reliability.

HeadquartersStockholm, Stockholm
Company Size11–50 employees
Founded2018
Hiring MarketsSweden

Frequently Asked Questions

What tech stack does Qopla use?

JavaScript, TypeScript, React, Node.js, .NET, Java, running on AWS, Azure, and GCP with Kafka for asynchronous order processing.

What is Qopla working on?

Scalable backend services for order processing, Kafka-based asynchronous workflows, and CI/CD pipeline improvements—reflecting focus on handling higher order volumes reliably.

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