Senior Back-end Software Engineer
Our client is a Scandinavian technology company that provides a comprehensive, cloud-based ERP platform for small and medium-sized enterprises (SMEs). Their solution integrates key business functions such as accounting, CRM, project management, time tracking, payroll, and invoicing into a single, unified system. As one of the early adopters of cloud ERP in Europe, the company has a strong track record of driving digital transformation across diverse industries. Their platform is widely used in Northern and Western Europe and is known for improving operational efficiency, enabling cross-functional collaboration, and supporting business process automation. The team is currently composed of two developers, one tech/team leader, one UX designer and a Product Manager. The application developed by the team is a mobile and web time tracking app designed for easy and efficient registration of working hours. It allows users to log time, plan tasks, and manage projects or absences. The app integrates with accounting systems and is available on both iOS and Android. As a part of a wider ecosystem, it supports businesses in streamlining time management and improving operational efficiency.
The candidate must be technically strong, self-going, proactive and take ownership of the technical development process. He or she will work very closely with the Product Manager, UX-designer and others in the product development process.
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Needs to have a solid understanding of architecture, databases, and security
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Designing and building APIs, integrations and lay the foundation for larger features/concepts in the application
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Optimize and extend existing functionality, especially on the database side
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Take an active role in implementing integrations and larger features
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Needs to follow the developer handbook
- Backend: Express Rest API with Knex
- Public Api: Fastify Rest API with kysely
- AWS / CDK * Firebase Auth
- GitHub
- Docker
- PostgreSQL
- Node.js/TypeScript
- English – at least B2 level
- Experience in database scaling