Software Engineer, L3 Support (.NET) (m/f/d)

Aras is a leading provider of digital thread solutions for product lifecycle management (PLM) and engineering AI. The company offers an AI-native, low-code platform used by the world's largest manufacturers to manage complex product lifecycles across automotive, industrial equipment, aerospace and defense, high tech, and life sciences industries.

• Commercial software development experience with 3+ years in production using .NET.
• Strong knowledge of C# /.NET and solid understanding of OOP principles.
• Experience with MS SQL Server and strong T-SQL skills.
• Experience using troubleshooting, diagnostic, and profiling tools.
• Good knowledge of JavaScript/TypeScript.
• Familiarity with REST APIs and HTTP-based standards such as OData.
• Proficiency with Git or another distributed version control system.
• Experience working in Agile or Kanban development environments.
• Intermediate+ or higher English proficiency, both spoken and written.

Nice to have:

• Ability to use AI tools effectively in daily engineering work, including development, debugging, troubleshooting, and productivity tasks.
• Experience working with large enterprise systems and legacy environments.
• Experience with client-side development.
• Direct experience with Docker, Kubernetes (AKS or Azure Container Apps), and Helm.

• Investigate complex issues and identify root causes across the application stack.
• Drive escalated customer issues through analysis, fix development, testing, and deployment.
• Develop enhancements and product improvements addressing customer-reported issues.
• Evaluate technical approaches and collaborate with product teams to refine solutions.
• Support customer upgrades and adapt functionality to newer product versions.
• Balance incoming escalations with planned improvement work.
• Write clean, maintainable, and testable code using modern engineering and AI-assisted development practices.
• Use troubleshooting and profiling tools to diagnose performance and stability issues.
• Improve CI/CD and DevOps practices to streamline delivery.
• Enhance platform reliability, scalability, performance, and security.
• Share knowledge to improve support and engineering practices.