Lead Engineer, AI Engineer (Applied​/Software), .NET Developer

Description

Hybrid Remote to start that will eventually go hybrid in Los Angeles, CA

Our client is seeking a Lead Engineer with deep expertise in .NET, C#, SQL Server, and Azure. You will lead backend-focused initiatives to build scalable, cloud-native applications and drive Azure migration work in an AI-enhanced development lifecycle. You will collaborate with cross-functional teams and mentor others while delivering production-grade software and tests.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $50.00 to $60.00/hr. w2

• Lead the design, development, and deployment of enterprise applications using .NET, C#, and SQL Server.
• Architect and execute Azure migration strategies including re-platforming and modernization.
• Build and optimize cloud-native solutions using Azure services such as AKS, Cosmos DB, App Services, and Functions.
• Operate in an AI-driven SDLC, translating stakeholder inputs into specifications with AI copilots.
• Collaborate with generative AI to iterate on user flows, interfaces, and architectures.
• Pair program with AI tools to write, refactor, and test code in real time.
• Deliver production-grade code and testing practices suitable for financial services.
• Implement intelligent testing frameworks that auto-generate test cases and predict defects.
• Leverage code assistants to navigate large codebases and implement improvements.
• Write automated tests concurrently with code to support CI/CD and API testing.
• Mentor junior engineers and promote best practices in cloud engineering and AI-assisted development.

• 8+ years of software engineering experience focused on .NET and C#.
• Proficiency in SQL Server and database design.
• Proven experience with Azure migration and cloud-native application development.
• Familiarity with AI code assistants such as Git Hub Copilot or Claude.
• Experience with automated testing, TDD, and CI/CD pipelines.
• Ability to work in an agile environment with AI-enhanced workflows.
• Preferred:
  Microservices architecture, containers, and orchestration.
• Preferred:
  Production-grade code practices with full automation and continuous delivery.
• Preferred:
  Knowledge of Azure Dev Ops and related Azure tools.
• Preferred:
  Exposure to AI/ML concepts and tools.
• Preferred:
  Strong communication skills and ownership mindset.
• Preferred:
  Technical lead experience and collaboration with offshore teams.
• Preferred:
  Familiarity with CNCF projects.