Software Engineer, L3 Support (.NET) (m/f/d)
Brak informacji o wynagrodzeniu
MidFull-time
#440256·Dodano 3 dni temu·1
Źródło: aras⚠️Uwaga: ta oferta może już nie być aktualna. Sprawdź na stronie pracodawcy, czy rekrutacja jest nadal otwarta.
Tech Stack / Keywords
C#NETMS SQL ServerT-SQLJavaScriptTypeScriptREST APIsODataGitAgile
Firma i stanowisko
Aras is a leading provider of digital thread solutions for product lifecycle management (PLM) and engineering AI. Their AI-native, low-code platform supports rapid delivery of flexible solutions connecting teams across disciplines and functions. The company serves some of the world's largest manufacturers across industries such as automotive, industrial equipment, aerospace and defense, high tech, and life sciences.
Wymagania
- Commercial software development experience of 3+ years with .NET in production.
- Strong knowledge of C# / .NET with 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 proficiency in spoken and written English.
Nice to have:
- Ability to use AI tools effectively in daily engineering work.
- 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.
Obowiązki
- 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 existing 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 the delivery process.
- Enhance platform reliability, scalability, performance, and security.
- Share knowledge and help improve support and engineering practices.
aras
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