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

.Net WPF Developer