Job title: Technology Specialist IT Service, Support & Operations | Enterprise Architecture
Location: Warren, NJ 07059
Job Type: Contract
Contract Duration: 12 Months
Target Start Date: August 10, 2026
Experience Required: 8 10+ Years
Interview Process: Face-to-Face Required
Job Summary
We are seeking an experienced Technology Specialist Enterprise Architecture to lead the architecture, design, and delivery of large-scale enterprise applications and modern technology solutions. The ideal candidate will have strong hands-on expertise across .NET, Angular, React, Microsoft Azure, APIs, Microservices, DevOps, and modern integration patterns.
The successful candidate will also have experience leveraging Generative AI and AI-assisted engineering tools, including GitHub Copilot, Claude, and agentic AI capabilities, to accelerate solution design, improve engineering productivity, automate development processes, and drive technology innovation.
This role requires a strong technical leader who can define enterprise architecture, establish technical standards, govern solution design, and collaborate effectively with architects, developers, DevOps engineers, security teams, and business stakeholders.
Key Responsibilities
- Lead the end-to-end architecture and design of enterprise-scale applications using:
- .NET
- Angular
- React
- Microsoft Azure
- REST APIs
- Microservices
- Modern integration patterns
- Define and govern application, integration, security, data, and infrastructure architectures.
- Develop scalable, secure, highly available, and resilient enterprise application architectures.
- Translate business and technical requirements into comprehensive solution architectures and technical designs.
- Establish architecture standards, design patterns, technology roadmaps, and governance practices.
- Lead architecture reviews and ensure solutions align with enterprise technology standards and security requirements.
- Design and recommend AI-enabled architectures leveraging Microsoft Copilot, Claude, Generative AI, and agentic AI technologies.
- Drive adoption of AI-assisted software development to improve engineering productivity and accelerate application delivery.
- Evaluate emerging technologies and recommend innovative solutions that improve scalability, performance, reliability, and operational efficiency.
- Collaborate with cross-functional teams of architects, software engineers, DevOps engineers, security professionals, infrastructure teams, and business stakeholders.
- Provide technical leadership and guidance throughout the complete Software Development Lifecycle (SDLC).
- Support cloud modernization and migration initiatives using Microsoft Azure.
- Ensure effective integration between enterprise applications, APIs, microservices, databases, and cloud platforms.
- Identify technical risks, architecture gaps, and dependencies and develop appropriate mitigation strategies.
Required Skills & Qualifications
- 8 10+ years of experience in Enterprise Architecture, Solution Architecture, Application Architecture, or related technology roles.
- Proven experience architecting and delivering enterprise-scale applications using the Microsoft technology stack.
- Strong expertise in:
- .NET / .NET Core
- Angular
- React
- Microsoft Azure
- RESTful APIs
- Microservices architecture
- Enterprise integration patterns
- Strong understanding of application, integration, security, data, and infrastructure architecture.
- Experience designing cloud-native and distributed applications on Azure.
- Strong knowledge of API-driven architectures, microservices, event-driven architecture, and modern integration approaches.
- Experience working with AI-powered development and architecture tools, including:
- GitHub Copilot
- Claude
- Generative AI solutions
- Agentic AI capabilities
- Proven ability to lead technical architecture initiatives and influence architecture decisions across multiple teams.
- Strong understanding of application security, scalability, performance, reliability, and high availability.
- Excellent communication, leadership, problem-solving, and stakeholder management skills.
Preferred Qualifications
- Strong experience with Microsoft Azure Architecture.
- Azure certifications such as Azure Solutions Architect Expert are a plus.
- Experience with DevOps and Platform Engineering.
- Hands-on experience with CI/CD pipelines and modern DevOps practices.
- Experience with Azure DevOps, GitHub Actions, or similar CI/CD platforms.
- Knowledge of Infrastructure as Code (IaC) using Terraform, Bicep, or ARM templates.
- Experience with Docker and Kubernetes/Azure Kubernetes Service (AKS).
- Experience designing secure API gateways and enterprise integration platforms.
- Familiarity with AI/ML platforms, Large Language Models (LLMs), RAG architectures, and AI agents is a plus.
- Experience implementing AI-assisted development and engineering productivity initiatives.
Top 3 Responsibilities
1. Enterprise Architecture
Define and govern end-to-end architecture for enterprise applications using .NET, Angular/React, Azure, APIs, Microservices, and modern integration patterns.
2. Technical Leadership
Lead cross-functional teams of architects, developers, DevOps engineers, infrastructure professionals, and business stakeholders to deliver scalable and secure enterprise solutions.
3. AI-Driven Innovation
Drive adoption of GitHub Copilot, Claude, Generative AI, and agentic AI capabilities to accelerate software development, automate engineering processes, improve productivity, and enable innovative technology solutions.