InfoBeans Technologies - Technical Lead - .Net/Azure
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Salary
≈ $21k – $51k per year (Estimated)
Location
In office (Pune)
Seniority
Staff
Visa
Sponsors visas in United States; no register of this country names it
Employment
Full-Time
First seen by Alion on Oct 31, 2026.
Overview
Company
Impact
Profile match
InfoBeans is an Indore-based software engineering and digital transformation company that builds enterprise applications, AI agents and automation for clients in the United States, Europe and the Middle East. Founded in 2000 and listed on the NSE and BSE in India, it runs delivery centres in Indore, Pune, Bengaluru and Chennai, holds partner status with ServiceNow, Salesforce and SAP, and offers its own accelerators such as Expona AI. The company hires Python, MEAN stack and Salesforce developers, SAP ABAP and ServiceNow architects, DevOps engineers, Power BI and ETL specialists and technical project managers.
Role Overview
We are looking for an experienced .NET Solution Architect with strong expertise in Azure cloud architecture, application design, and modern software engineering practices. The ideal candidate will be responsible for designing scalable, secure, and high-performance applications, defining technical standards, and providing architectural leadership across teams.
The role also requires hands-on experience with AI-assisted software engineering tools to improve development productivity, code quality, testing, and architectural analysis.
Key Responsibilities
Core Technologies :
We are looking for an experienced .NET Solution Architect with strong expertise in Azure cloud architecture, application design, and modern software engineering practices. The ideal candidate will be responsible for designing scalable, secure, and high-performance applications, defining technical standards, and providing architectural leadership across teams.
The role also requires hands-on experience with AI-assisted software engineering tools to improve development productivity, code quality, testing, and architectural analysis.
Key Responsibilities
- Design and define scalable, secure, and resilient application architectures using .NET and Microsoft Azure.
- Lead solution architecture, application architecture, and technical design decisions across projects.
- Design and develop RESTful APIs and event-driven solutions using Azure Service Bus and Azure Functions.
- Establish secure authentication and authorization mechanisms using Auth0, Okta, OAuth 2.0, and OpenID Connect.
- Define and implement technical standards, architectural patterns, coding guidelines, and best practices.
- Lead integration architecture and ensure seamless communication between applications and services.
- Drive CI/CD implementation, application monitoring, observability, and production reliability.
- Collaborate with cross-functional and engineering teams to translate business requirements into robust technical solutions.
- Evaluate emerging technologies and make architecture decisions aligned with scalability, security, performance, and maintainability requirements.
- Leverage AI-assisted engineering tools to accelerate code generation, refactoring, testing, documentation, and technical analysis.
- Guide development teams in adopting AI tools responsibly to improve engineering efficiency and software quality.
Core Technologies :
- Strong expertise in .NET 8 / .NET 10, C#, and ASP.NET Core.
- Extensive experience in Microsoft Azure architecture and cloud-based application design.
- Strong understanding of solution architecture, application architecture, and REST API design.
- Hands-on experience with event-driven architecture, Azure Service Bus, and Azure Functions.
- Experience with identity and access management solutions such as Auth0 or Okta.
- Strong knowledge of OAuth 2.0 and OpenID Connect.
- Experience with CI/CD pipelines, application monitoring, logging, and observability.
- Proven experience in technical architecture, solution design, and architecture decision-making.
- Strong understanding of integration architecture, design patterns, and technical standards.
- Ability to provide cross-team technical leadership and architectural guidance.
- Excellent problem-solving, analytical, and technical communication skills.
- Practical experience using AI-powered development tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or equivalent platforms.
- Ability to use AI effectively for code generation, refactoring, testing, documentation, and code reviews.
- Experience leveraging AI for architecture analysis, technical investigation, and engineering productivity improvements.
- Understanding of the importance of validating AI-generated outputs for correctness, security, performance, and maintainability.
- Experience designing enterprise-grade, cloud-native applications.
- Familiarity with secure software development practices and cloud security principles.
- Experience driving architectural improvements and engineering best practices across multiple teams.
- Ability to balance hands-on technical expertise with strategic architectural decision-making.
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