C# Software Engineer (H/F)
Indexed description
Job Description
As part of our ongoing digital transformation, our Digital Accelerator drives innovative solutions using design thinking, fusion teams, and agile methodologies. Here, cross-disciplinary teams tackle business challenges by developing minimum viable products (MVPs), with successful concepts scaled into full products.
We are seeking a motivated C# Developer to design and build forward-thinking software solutions, often leveraging emerging technologies such as AI, to modernize and transform our business.
Your key missions will include:
- End-to-End Software Development: Design, build, and maintain high-quality C#/.NET applications supporting innovation projects. Develop new features, enhance existing components, and ensure performance, reliability, and scalability.
- AI-Driven Solution Engineering: Work with AI technologies — including LLMs, computer vision, and intelligent automation — to create data-driven prototypes and applications. Integrate AI capabilities into workflows using C#, Python, and cloud or on-prem environments.
- Architecture & Technical Design: Contribute to solution architecture discussions, evaluate technology choices, and define modern patterns and best practices to ensure maintainable and scalable solutions.
- Cross-Functional Collaboration: Collaborate with product owners, business experts, data specialists, analysts, and other developers to convert business challenges into digital solutions. Participate in workshops, co-creation sessions, and technical reviews.
- Strong proficiency in C#/.NET development.
- Experience with REST APIs, microservices, and integration patterns.
- Knowledge of Azure and containerized environments (Docker/Kubernetes).
- Understanding of software architecture principles, design patterns, and clean code practices.
- Experience with CI/CD pipelines, Git, and DevOps workflows.
- Familiarity with AI technologies (LLMs, embeddings, vector databases) and Blazor frontend framework is a plus.
- Autonomous, proactive, and collaborative mindset.
- Work on cutting-edge innovation projects with exposure to AI and emerging technologies.
- Structured support for skill development and career progression.
- Opportunity to work in a collaborative, multi-disciplinary environment.
- Inclusive policies promoting work-life balance and diversity.
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