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Consultant - Senior Software Engineer - VB.net

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Onsite

Consultant - Senior Software Engineer - VB.net

Harbinger Techventures

Consultant - Senior Software Engineer - VB.net

Skills

SQL QueriesC#.NETAIJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Senior Software Engineer- VB.Net

Mode of employment-Freelancer / Consultant

Experience- 5+ Years

Person needs to be available at leastfor minimum 4 hours per day.

Summary

Leads design and developmentof scalable systems using advanced engineering practices and AI-driveninsights. Drives architecture decisions, ensures high-quality delivery, andpromotes innovation, automation, and continuous improvement in the project. Candidatemust be proficient in VB.net, SQL Database and using Copilot for AI AssistedDevelopment. Person should be able to present demos to customers and capturerequirements from customers. Needs to have strong communication skills.

Skills Expectations

  • Front End : ASP.NET MVC (CSHTML pages), ASP.NET (ASPX pages)
  • Client Side : jQuery, JavaScript, JavaScript
  • Server side : C# WebAPI
  • Database : SQL Server (Common for admin and user)

Code behind: VB.NET

  • Advanced programming and debugging skills
  • Experience in cloud, distributed systems, and scalability
  • Understanding of AI-assisted engineering workflows
  • Strong ownership and accountability
  • Must be aware of deployment techniques

Key Responsibilities

  • Software Development
  • Design and develop scalable, high-performance applications
  • Use AI tools for code optimization, generation, and performance tuning
  • Ensure application is secure and resilient
  • Drive best practices in development
  • Aware of web application development
  • Aware of webs services, authentication mechanisms and database management

Technical Leadership

  • Get involved in architecture and technical decision-making
  • Ability to perform code review code

Project Management

  • Break down complex tasks and convert them into development tasks
  • Use data and AI insights for estimation and prioritization

Documentation Communication

  • Maintain architecture and system-level documentation
  • Use AI tools for efficient documentation
  • Communicate effectively with stakeholders andleadership

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