Responsibilities
- Drive the digital transformation of legacy systems
- Design standardized, scalable processes and tools to accelerate developer productivity
- Pioneer the use of generative AI and autonomous AI agents to automate code translation
- Develop and implement multi-agent AI workflows for code analysis
- Establish automated verification frameworks to ensure AI-generated code security and performance
- Integrate AI tools for automated testing
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related technical field
- 8+ years in software engineering
- Minimum 3 years in AI application development
- Hands‑on experience with multi‑agent AI workflows for code analysis and logic extraction
- Deep expertise in modern languages (.NET C#, ASP.NET Core, Python, Java, Go)
- Strong familiarity with legacy enterprise environments (WPF, WCF, ASP, C++, C#, or mainframe architectures)
- Experience with Kubernetes, containerization, microservices, hybrid edge‑to‑cloud topologies, and major cloud providers (AWS, Azure)
- Advanced knowledge of automated pipelines and Infrastructure as Code (IaC)
- Familiarity with both Windows and Linux environments and database technologies
- Excellent communication skills
#J-18808-Ljbffr