Senior Level Net Engineer Jobs
Senior level net engineer jobs put experienced engineers in charge of network architecture decisions, cross-functional project ownership, and the technical direction of the teams delivering critical infrastructure. Openings are spread across on-site, remote, and hybrid settings in Technology & Software, Cybersecurity, and Consulting & Professional Services, with Unisys, WellSky, and ScienceSoft hiring at this level now.
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Role: Azure Dot Net AI Engineer
Direct Client - Long term Contract
Location: McKinney, TX(Onsite)
We are looking for a Senior .NET Full Stack Developer with strong Azure expertise and an AI-first mindset to build a scalable, enterprise-grade plug-and-play platform. The platform will provide reusable, modular, and configurable capabilities that can be leveraged across multiple applications, clients, and business units—reducing repetitive development, cost, and implementation time.
Key Responsibilities
- Design and develop reusable enterprise capabilities using .NET, C#, Azure, APIs, and modern full-stack technologies.
- Build modular services and components that can be configured, integrated, and reused across different applications.
- Apply an AI-first approach to development, automation, integration, testing, and platform operations.
- Leverage GenAI, LLMs, AI agents, Azure OpenAI, and AI-assisted engineering to minimize manual development effort.
- Develop scalable REST APIs, microservices, workflows, and reusable UI components.
- Build cloud-native solutions using Azure services, with focus on security, scalability, monitoring, and governance.
- Enable an experience such as: Select/Describe → AI Understands → Configure → Integrate → Deploy → Reuse.
Required Skills
- Strong C# / .NET / .NET Core / ASP.NET Core
- Strong Azure development experience
- React or Angular with JavaScript/TypeScript
- REST APIs, Microservices, API Management
- SQL Server / Azure SQL; exposure to NoSQL is a plus
- CI/CD, Docker/Kubernetes exposure
- Practical experience with GenAI / LLMs / Azure OpenAI / AI Agents
- Strong understanding of enterprise architecture, reusable components, automation, and integration
Role: Azure Dot Net AI Engineer
Direct Client - Long term Contract
Location: McKinney, TX(Onsite)
We are looking for a Senior .NET Full Stack Developer with strong Azure expertise and an AI-first mindset to build a scalable, enterprise-grade plug-and-play platform. The platform will provide reusable, modular, and configurable capabilities that can be leveraged across multiple applications, clients, and business units—reducing repetitive development, cost, and implementation time.
Key Responsibilities
- Design and develop reusable enterprise capabilities using .NET, C#, Azure, APIs, and modern full-stack technologies.
- Build modular services and components that can be configured, integrated, and reused across different applications.
- Apply an AI-first approach to development, automation, integration, testing, and platform operations.
- Leverage GenAI, LLMs, AI agents, Azure OpenAI, and AI-assisted engineering to minimize manual development effort.
- Develop scalable REST APIs, microservices, workflows, and reusable UI components.
- Build cloud-native solutions using Azure services, with focus on security, scalability, monitoring, and governance.
- Enable an experience such as: Select/Describe → AI Understands → Configure → Integrate → Deploy → Reuse.
Required Skills
- Strong C# / .NET / .NET Core / ASP.NET Core
- Strong Azure development experience
- React or Angular with JavaScript/TypeScript
- REST APIs, Microservices, API Management
- SQL Server / Azure SQL; exposure to NoSQL is a plus
- CI/CD, Docker/Kubernetes exposure
- Practical experience with GenAI / LLMs / Azure OpenAI / AI Agents
- Strong understanding of enterprise architecture, reusable components, automation, and integration
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Find JobsSenior Level Net Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Cybersecurity
- Consulting & Professional Services
Senior Level Net Engineer Jobs: Frequently Asked Questions
How do I get a senior level net engineer job?
Employers at this level look for engineers who have owned complex network deployments end to end, not just contributed to them. Demonstrating that you have led architecture decisions, mentored junior engineers, and driven reliability or performance improvements in production environments gives you a clear edge. Certifications like CCIE or JNCIE strengthen your candidacy, but documented outcomes matter most.
Which companies hire senior level net engineers?
Companies hiring senior level net engineers right now include Unisys, WellSky, and ScienceSoft, based on current listings on Migrate Mate as of November 2026. Hiring at this level covers large enterprises managing sprawling on-premise infrastructure, cloud-forward technology firms, and managed service providers that need senior engineers to lead client-facing network engagements.
Are there remote senior level net engineer jobs?
Yes, though availability varies by employer and the operational requirements of the role. About 33% of senior level net engineer openings are remote or hybrid as of November 2026, with fully remote positions more common at software-driven or cloud-native organizations where hands-on hardware access is less critical to day-to-day responsibilities.
What makes a net engineer role senior level?
Senior level net engineer roles are defined by ownership and scope rather than task execution. Expectations typically include leading the design and implementation of large-scale network systems, making architectural trade-off decisions independently, setting standards and best practices for the team, and mentoring mid-level engineers. The role carries accountability for outcomes, not just deliverables.
Which industries hire the most senior level net engineers?
Senior Level net engineer roles concentrate in Technology & Software, Cybersecurity, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they operate complex, high-availability networks where the cost of downtime or a security gap is significant and the engineering decisions require experienced judgment rather than guided execution.