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.Net Lead Developer - Immediate Need with Innominds Software -Pune

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.Net Lead Developer - Immediate Need with Innominds Software -Pune

Innominds Software

.Net Lead Developer - Immediate Need with Innominds Software -Pune

Skills

C#.NETTesting & QABitbucketAIJiraKanbanRisk Management

22 days ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Hybrid

Published on:

30 September 2026

What they need


Job Title: .NET -Lead Software Developer @ Innominds

Experience: 6-15 Years
Location: Baner, Pune

Work mode - Hybrid - 3 days a week from office

Job Description:-

Technical Profile Expectations:

Please focus on strong .NET / Full Stack candidates with working knowledge of WPF. Strong system-thinking and problem-solving skills

  • Strong C#/.NET fundamentals and advanced concepts
  • WPF working knowledge is sufficient
  • Strong understanding of Design Patterns and SOLID principles
  • Strong multithreading skills
  • Experience with AI-assisted development/coding tools

Interview Process:

Written Test Candidates will be interviewed only after clearing the written test.

  • The test will include C# coding exercises and C# multiple-choice questions.

  • Duration: 1 hour, with an additional 10–15 minutes if required.

  • L1 – First technical discussion via Teams, followed by F2F discussion at Hiliti Pune location.

  • Candidates should prepare on:

  • Multithreading ,Memory Management, Asynchronous Programming, Data Structures, Dependency Injection, Design Patterns

It is proctored test and candidates are not allowed to switch windows

JD- C#/ WPF – Lead Software Developer Engineer

Responsibilities

  • Develop, maintain and enhance Windows desktop applications using C# 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

  • Bachelor’s/master’s degree in computer science or related field, with 7-18 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 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 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.

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