Senior Software Engineer (m/f/d) - Poland

Aras is a leading provider of digital thread solutions for product lifecycle management (PLM) and engineering AI. Their AI-native, low-code platform supports flexible solutions that connect teams across disciplines and functions to critical product data and agentic AI throughout product lifecycles and extended value chains. They serve the world's largest manufacturers in industries including automotive, industrial equipment, aerospace and defense, high tech, and life sciences.

• 6–8+ years of experience in commercial software development
• Experience with Customer Switching
• Experience effectively using AI-assisted development tools such as GitHub Copilot, ChatGPT, Cursor, Claude, or similar technologies
• Ability to incorporate AI tools into daily development workflows while maintaining high standards of code quality and security
• Strong expertise in C# / .NET
• Solid understanding of DevOps and CI/CD practices
• Strong knowledge of SQL Server and T-SQL
• Deep understanding of OOP, SOLID principles, clean architecture, and design patterns
• Experience building and consuming REST APIs and working with HTTP-based standards such as OData
• Experience working in Agile development environments
• Upper-intermediate or higher English (spoken and written)

Nice to have:

• Experience with client-side or frontend development
• Experience building and operating cloud-based systems (Azure preferred)
• Hands-on experience with Docker, Kubernetes (AKS or Azure Container Apps), and Helm

• Design, develop, and maintain platform and platform applications/components across on-prem and SaaS environments
• Write clean, maintainable, and testable code using modern engineering best practices
• Participate in DevOps practices including CI/CD pipelines, GitOps workflows, and cloud deployments
• Collaborate with cross-functional teams to refine scope, manage technical risks, and ensure successful delivery
• Improve platform reliability, scalability, performance, and security
• Work across multiple projects, product areas, and technical domains, adapting to changing business priorities
• Investigate, troubleshoot, and resolve customer-reported issues, performance challenges, and production defects
• Participate in customer-driven initiatives, balancing strategic platform investments with customer requests and operational needs
• Independently analyze problems, propose solutions, and drive implementation with minimal supervision
• Leverage AI tools to accelerate development, troubleshooting, code reviews, documentation, and learning