
30 open roles · 300 - Development
Senior Software Engineer
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Where you can work
Locations named
- Kraków, Lesser Poland, Poland
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Krakow, Remote, Poland
Remote
Open to candidates in Poland
View location wording from the posting
Krakow, Remote, Poland
Employer description
Aras is a leading provider of digital thread solutions for product lifecycle management (PLM) and engineering AI. As one of the fastest growing PLM companies, our AI-native, low-code platform enables the rapid delivery of flexible solutions that connect teams across disciplines and functions to critical product data and agentic AI throughout the product lifecycle and extended value chain.
The world's largest manufacturers leverage Aras Innovator to manage complex product lifecycles, accelerate innovation, improve operational efficiency, and bring products to market faster. We collaborate with companies in some of the world's most innovative industries, including automotive, industrial equipment, aerospace and defense, high tech, and life sciences.
What You’ll Be Doing
You will be a key contributor to the design, development, and delivery of platform and platform applications that power Aras Innovator.
- 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, quickly 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
- Comfortable leveraging AI tools to accelerate development, troubleshooting, code reviews, documentation, and learning
Who You Are
- A proactive and self-driven engineer who takes ownership and delivers results with minimal supervision
- Embraces modern AI-assisted development practices and continuously explores ways to improve engineering productivity through AI tools
- Comfortable switching between multiple initiatives, priorities, and problem domains based on business needs
- Customer-focused and motivated to solve real customer challenges through sustainable technical solutions
- Able to quickly learn new technologies, systems, and product areas
- Strong problem solver who can independently investigate, troubleshoot, and drive issues to resolution
- Effective communicator who collaborates well with engineering, product management, support, and customer-facing teams
- Passionate about continuous improvement, quality, and long-term maintainability
- Team-oriented and willing to share knowledge and support others when needed
What You’ll Need
- 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
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