Job Title: .Net Architect
Location: US FortWorth, TX (Hybrid)
Duration: 12+ Month
Experience: 12 to 15 years
Must have Skills –
.Net – 10+Yrs of Exp –
C# – 10+Yrs of Exp –
ASP.NET Core –10+ Yrs of Exp –
Designing and implementing microservices –10+ Yrs of Exp RESTful and GraphQL –10+ Yrs of Exp – SQL Server and relational database design –10+ Yrs of Exp – Angular –10+ Yrs of Exp – Azure DevOps -5+ Yrs of Exp- Good To have Skills – Cloud platforms – 5+ Yrs of Exp - AI and LLM integration – 5+ Yrs of Exp -
Required Skills (MUST HAVE)
• Backend and .NET: Strong expertise in .NET, C#, and ASP.NET Core, with
a solid grasp of SOLID principles and clean architecture. Should be strong in Angular as well
• Distributed systems: Designing and implementing microservices,
including service boundaries, inter-service communication, and resilience patterns.
• APIs and security: RESTful and GraphQL API design, versioning and
backward compatibility, and application security (OAuth2/OpenID Connect, JWT, OWASP Top 10, secrets management).
• Data: SQL Server and relational database design, query optimization,
and data access using Dapper, EF Core, and GraphQL where appropriate.
• Frontend: Working knowledge of Angular for building or reviewing
front-end architecture and integrations.
• Observability and DevOps: Logging, metrics, and distributed tracing
(e.g., OpenTelemetry, Application Insights, Grafana, or similar), along with CI/CD pipeline design (Azure DevOps, GitHub Actions, or Jenkins) and containerization.
• AI-assisted development: Practical experience using AI coding
assistants and integrating AI-assisted workflows into the SDLC, including prompt design, code review of generated output, and quality safeguards.
• System design and problem solving: Ability to design for scale,
availability, and cost, and to break down ambiguous problems into clear technical plans.
Current Market Skills (Good to Have/Preferred)
• Cloud platforms: Hands-on experience with Azure or AWS,
• Containers and orchestration: Docker and Kubernetes, with an
understanding of Helm and GitOps practices.
• Cloud-native patterns: Event-driven architecture, CQRS, event
sourcing, and message brokers (Kafka, RabbitMQ, or Azure Service Bus).
• AI and LLM integration: Experience integrating LLM-based features into
enterprise applications (e.g., Azure/AWS OpenAI, retrieval-augmented generation, vector databases), along with awareness of AI governance and data privacy.
• Security and compliance: Zero-trust principles, identity platforms
(Azure AD / Entra ID), and familiarity with standards such as SOC 2, ISO 27001, or GDPR.
• Modern frontend practices: Component-driven design, micro-frontends,
and performance optimization for SPAs.
