
Job Description & Key Responsibilities
Role & responsibilities Lead C# & .Net Location: Pune Experience: 09 14 Years Impact you will realize: Job Responsibilities Technical Ownership – Owns delivery of features, modules, and technical outcomes for enterprise-grade Windows desktop applications using C# and WPF. Team Leadership – Mentors and coaches engineers through code reviews, design reviews, and technical guidance, raising overall team engineering maturity. Architecture Influence – Drives technical alignment across the team on MVVM, OOP, design patterns, unit testing, and WPF best practices. Delivery Excellence – Contributes to predictable delivery, engineering efficiency, and operational excellence within Agile environments (Scrum/Kanban). AI & Modernization – Drives responsible AI adoption and contributes to desktop engineering modernization, platform evolution, and technical innovation. Key skills you will require Develop, maintain and enhance Windows desktop applications using C# and WPF. Knowledge of AI is must. The person should know, used, and preferably created agents for coding. Just vibe coding would not be sufficient. 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. Qualifications You Must Require Bachelor’s/master’s degree in computer science or related field, with 09 -14 years of experience. Proven experience in developing Windows desktop applications using C# and WPF. Strong knowledge of object-oriented-programming (OOP) principles and design patterns. Experience with MVVM architecture and data binding in WPF. Familiarity with Visual Studio, Git and Agile methodologie• 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 be plus. 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.