.Net Architect

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.