Responsibilities
- Develop, maintain and enhance Windows desktop applications usingC# and WPF.
- Own delivery of features, modules, and technical outcomes within a defined engineering area.
- Collaborate with cross-functional teams to define, design, implementation, testing, and release of enterprise-grade desktop applications
- Mentor and coach engineers through code reviews, design reviews, technical guidance, and continuous feedback
- Drive technical alignment across the team on MVVM, OOP, design patterns, unit testing, and WPF best practices.
- Collaborate effectively with Product Owners, QA, UX, architecture, and engineering stakeholders to define and deliver high-quality features
- Support planning, estimation, delivery tracking, risk management, and continuous improvement activities
- Contribute to desktop engineering modernization, platform evolution, and technical innovation initiatives.
- Contribute to predictable delivery, engineering efficiency, and operational excellence within Agile environments
- Drive responsible adoption of AI-assisted engineering practices across teams to improve productivity, quality, testing, documentation, onboarding, and delivery efficiency.
Requirements (Must Haves)
- Bachelor's/master's degree in computer science or related field, with 11-14 years of experience.
- Proven experience in developing Windows desktop applications usingC# and WPF.
- Strong knowledge of object-oriented-programming (OOP) principles anddesign patterns.
- Experience with MVVM architecture and data binding in WPF.
- Familiarity with Visual Studio, Git and Agile methodologies.
- Excellent problem-solving skills, analytical and communication skills.
- Ability to work independently and in a team-oriented environment.
- Experience with graphics programming like DirectX or OpenGL would beplus.
- Experience working in an agile environment (SCRUM, Kanban, etc)
- Working knowledge of development toolchain i.e. Visual Studio, Git,Jira, Bitbucket, etc.
- Ability to mentor engineers and drive team-level engineering maturity.
- Strong communication, stakeholder management, problem-solving, and decision-making capabilities across cross-functional engineering environments.
- Ability to drive AI adoption across teams by identifying high-impact use cases and enabling responsible usage.
- Understanding of Agentic AI design for developer assistance, MCP concepts, multi-agent system design patterns, and responsible AI practices within software engineering workflows.
Requirements (Nice to have)
- Knowledge of CAD SDKs e.g. ODA / Teigha or AutoDesk
- Experience with BIM and IFC
- Experience with DirectX or OpenGL
- Experience with performance optimization, architecture reviews, or desktop platform modernization initiative
