Technical Architect – Full Stack Development, Microsoft, AI

YASH Technologies

. Lead the design and implementation of scalable, secure, and high-performance enterprise applications using Microsoft .NET technologies .

Posted 10/31/2026full-timeHyderabad • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in designing and implementing scalable enterprise applications using Microsoft .NET technologies, with a strong focus on cloud-native solutions and AI integration. Proven ability to lead technical teams, mentor developers, and drive architectural decisions while balancing business priorities and technical requirements.

Highest-signal resume keywords

Microsoft .NET TechnologiesCloud-Native Application DevelopmentApplication ArchitectureAI-Powered SolutionsAgile Team Leadership

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Hard Skills

C#.NET Framework.NET 6/7/8/9ASP.NET MVCASP.NET CoreWeb APIEntity Framework CoreSQL ServerMongoDBMicroservices

Soft Skills

Strong CommunicationStakeholder ManagementMentoring

Tools & Technologies

Microsoft AzureAzure DevOpsGitCI/CD PipelinesDockerKubernetes

Industry Keywords

Enterprise ApplicationsApplication ModernizationSecurity Best PracticesRESTful API DesignOWASP Security Standards

Tech Stack

Tools & technologies

AngularASP.NETAzureCloudDistributed SystemsDockerEntity FrameworkJavaScriptKubernetesMicroservicesMongoDBReactSQLTypeScript.NET

About the role

Key responsibilities & impact

Lead the design and implementation of scalable, secure, and high-performance enterprise applications using Microsoft .NET technologies
Architect end-to-end solutions across web, API, cloud, and AI-enabled platforms
Drive technology decisions, application modernization, and adoption of architecture, security, and software engineering best practices
Collaborate with business stakeholders, product owners, and development teams to translate requirements into technical solutions
Define and review architecture, technical designs, coding standards, and integration approaches
Design and implement cloud-native solutions using Microsoft Azure services and DevOps practices
Mentor technical teams and provide architectural guidance
Produce and maintain architecture documentation, technical roadmaps, and solution artifacts
Support project estimation, technical risk management, and solution governance
Evaluate, architect, and implement AI-powered solutions using Azure OpenAI, Microsoft Copilot, AI Agents, RAG, Semantic Search, and Intelligent Automation frameworks

Requirements

What you’ll need

15+ years of experience in software development
At least 5+ years in Technical Architect or Solution Architect roles
Proven experience delivering large-scale enterprise applications using Microsoft technologies
Strong expertise in application architecture, system integration, scalability, performance tuning, and security
Hands-on experience with cloud-native application development and modernization initiatives
Strong communication and stakeholder management skills
Experience leading and mentoring distributed development teams in Agile environments
Ability to balance business priorities, technical debt, scalability, and delivery timelines
Proficiency in C#, .NET Framework, .NET 6/7/8/9, ASP.NET MVC, ASP.NET Core, Web API, Entity Framework Core, Dapper, Windows Services, and Worker Services
Experience with Angular, React, TypeScript, and JavaScript
Experience with SQL Server, MongoDB, database design, data modelling, and query optimization
Experience with Microsoft Azure, Azure services, Azure DevOps, Git, and CI/CD pipelines
Experience with Docker and Kubernetes preferred
Experience with Azure OpenAI, OpenAI APIs, Microsoft Copilot Studio, AI agents, agentic workflows, prompt engineering, RAG, vector databases, semantic search, responsible AI, and AI governance
Knowledge of microservices, distributed systems, RESTful API design, SOLID principles, design patterns, DDD, OAuth 2.0, OpenID Connect, JWT, Azure AD/Microsoft Entra ID, and OWASP Security Standards

Benefits

Comp & perks

Flexible work arrangements
Career-oriented skilling models
Continuous learning, unlearning, and relearning
Stable employment
Inclusive team environment
Ethical corporate culture
Support for realization of business goals
Open collaboration and transparent workplace
Emotional positivity
Free spirit