- 5–8 years of experience in retail technology, POS engineering, or a similar role,
- hands-on experience with Front Systems POS or comparable Point of Sale platforms,
- experience working in a techno-functional role, combining hands-on work with APIs and integrations with a strong understanding of retail business processes,
- strong understanding of middleware solutions and integration layers,
- proven ability to support high-transaction, business-critical systems with a strong focus on performance, stability, and reliability,
- ability to overlap working hours with teams operating in the Pacific Time Zone (PST) for a few hours on a regular basis,
- strong understanding of retail store operations, checkout processes, pricing, and promotions,
- experience integrating enterprise systems using REST or SOAP APIs,
- familiarity with JSON and XML data formats,
- solid knowledge of SQL and relational databases,
- experience with cloud platforms such as Azure or AWS,
- understanding of omnichannel retail environments and integrations between online and offline sales channels,
- experience providing L2/L3 support for business-critical applications,
- strong analytical and problem-solving skills,
- ability to collaborate effectively with business stakeholders and technical teams,
- good communication skills in English (min. B2),
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Work from the European Union region and a work permit are required.
Nice to have:
- experience working within Nordic retail environments,
- familiarity with Adobe Commerce, Magento, or similar eCommerce platforms,
- participation in large-scale POS transformation or modernization projects,
- experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
- interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.