Software Engineer

Purpose of the Role 

We are looking for a Software Engineer to support the development, modernization, and evolution of Keyloop's strategic software platforms and innovation initiatives. The successful candidate will play a key role in delivering scalable solutions, building integrations, and contributing to the company's technology transformation strategy. This position will operate in a highly collaborative environment involving Engineering, QA, Product, and other stakeholders. 

• Design, develop, and maintain applications and services using C# and .NET technologies. 

• Develop and support APIs, integrations, and backend services. 

• Contribute to the modernization and continuous improvement of existing platforms and solutions. 

• Collaborate closely with Product, QA, and Engineering teams throughout the software development lifecycle. 

• Investigate and resolve complex technical and integration issues. 

• Participate in technical design, code reviews, testing, and release activities. 

• Leverage AI-assisted development practices throughout the software delivery lifecycle, including requirements analysis, solution design, coding, testing, documentation, troubleshooting, and continuous improvement. 

• Contribute to the evolution of AI-driven engineering practices, helping to increase productivity, quality, and innovation across the development process. 

• Support Keyloop's innovation strategy through the adoption of modern engineering practices, automation, and emerging technologies. 

• Actively contribute to knowledge sharing and continuous improvement initiatives within the engineering organization. 

• Experience with cloud-native architectures and modern integration patterns. 

• Experience modernizing legacy applications and services. 

• Exposure to AI-assisted software development tools and workflows. 

• Knowledge of the automotive retail, mobility, or SaaS domains. 

• The opportunity to work on strategic technology initiatives that directly support Keyloop's innovation agenda. 

• Exposure to a modern engineering environment embracing AI-assisted development practices. 

• A collaborative team culture focused on continuous learning, technical excellence, and innovation. 

• The opportunity to influence the adoption of next-generation engineering practices across the organization.