.Net + Azure Architect with DevOps & AI Fundamentals

Ethereum Technologies LLC; Charlotte (NC); On-site; USD 88,000 - 125,000; Full time

Job summary

Ethereum Technologies in Charlotte, NC seeks a .Net + Azure Architect with DevOps and AI fundamentals to design and modernize cloud-native applications. You will implement CI/CD pipelines, IaC with Terraform, and integrate AI-assisted development practices.

The role spans application development, cloud engineering, DevOps and AI-enabled methods, with hands-on work across REST APIs, microservices and Azure services such as AKS, App Services and Key Vault.

Qualifications

• Proven experience building/modernizing cloud-native .NET apps.
• Hands-on with CI/CD automation and Terraform IaC.
• Familiar with AI-assisted software engineering concepts.

Responsibilities

• Design, develop and maintain scalable .NET apps using C#, .NET Core, ASP.NET Core.
• Develop REST APIs and microservices; apply SOLID, DI, patterns and clean architecture.
• Design for scalability, performance, resilience and maintainability.
• Participate in design reviews, troubleshooting and production issue resolution.
• Leverage AKS, App Services, Functions, and Azure services in pipelines.

Skills

.NET / C#

Azure Cloud

CI/CD

AI Fundamentals

REST APIs & Microservices

Tools

Terraform

Azure DevOps

GitHub Actions

AKS

Job description

.Net + Azure Architect with DevOps & AI Fundamentals

Location: Charlotte, NC

Duration: 8Months+ Extension

Domain Exposure: Banking & Finance

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: .Net + Azure Architect with DevOps & AI Fundamentals
Location: Charlotte, NC
Duration: 8 Months + Extension
Bill Rate: $77/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Description:

• We are looking for an experienced.NET/Azure Architect with strong hands-on expertise in building and modernizing cloud-native applications.
• The candidate should have solid experience in CI/CD automation and Infrastructure as Code using Terraform, along with practical exposure to modern AI-assisted software engineering, including building basic AI agents and awareness of concepts such as SDD and MCP.
• The person should be comfortable working across application development, cloud engineering, DevOps and AI-enabled development practices.

Responsibilities:

• .NET & Application Engineering Design, develop and maintain scalable applications using C#, .NET / .NET Core and ASP.NET Core.
• Develop and integrate REST APIs and microservices. Apply engineering practices such as SOLID principles, dependency injection, design patterns and clean architecture.
• Design solutions for scalability, performance, resilience and maintainability.
• Participate in technical design, code reviews, troubleshooting and production issue resolution.
• These expectations are consistent with the existing Principal Engineer_Architect_JD.docx, which emphasizes .NET Core, microservices, REST APIs, DDD and cloud-native engineering. Microsoft Azure Strong hands-on experience with Azure services such as:
• Exposure to AKS / containerized applications is desirable.
• The existing internal JD also identifies App Services, Functions, AKS, APIM, Service Bus, Event Hubs, Key Vault, Azure SQL and Azure Monitor as relevant Azure engineering capabilities.
• CI/CD & DevOps Strong practical knowledge of Azure DevOps CI/CD pipelines.
• Experience creating and maintaining YAML-based build and deployment pipelines.
• Automate application build, testing and deployments across environments.
• Good understanding of branching strategies, release management, deployment approvals and environment configuration.
• Exposure to GitHub Actions is an advantage.
• Your existing AX - Software Developer .NET -Azure, API.docx specifically calls for unit testing, CI/CD, YAML pipelines, Terraform and trunk-based branching.
• Terraform / Infrastructure as Code Hands-on experience with Terraform for provisioning and managing Azure infrastructure.
• Ability to create, understand and modify Terraform modules.
• Understanding of Terraform state management, environments, variables and reusable modules. Integrate Terraform provisioning with CI/CD pipelines.
• Understanding of secure handling of configuration and secrets.
• Terraform module structure, environment handling, state management and CI/CD integration are also reflected in your existing interview criteria.
• AI / GenAI Fundamentals The candidate does not need to be an AI/ML specialist, but should be comfortable adopting AI within software engineering.
• Expected exposure: Understanding of Generative AI and LLM fundamentals.
• Ability to create simple AI agents / agentic workflows.
• Basic understanding of prompting and tool-based AI interactions. Awareness of RAG (Retrieval-Augmented Generation) concepts.
• Awareness of MCP (Model Context Protocol) and its purpose in connecting AI applications/agents with tools and contextual information.
• Awareness of SDD (Spec-Driven Development) and AI-assisted software development practices.
• Exposure to AI coding assistants such as GitHub Copilot or similar tools.
• Ability to identify practical opportunities where AI can improve development, testing, documentation and engineering productivity.
• Exposure to Azure AI / Azure OpenAI / Microsoft Foundry is desirable, not mandatory.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.