Lead Engineer, Microsoft Stack (.NET/C#), Remote

Carrington Recruitment Solutions
Leeds, UK
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£80,000.0 - £90,000.0
Working hours
Regular working hours

Tech stack

ASP.NET .NET Framework Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Cloud Computing DevOps Python (Programming Language) Machine Learning Microsoft Software Platform as a Service (PAAS) Microsoft Copilot
+10 more
Microsoft SharePoint ReactJS Generative AI AI Platforms Bicep Cosmos DB Azure Service Fabric Claude GPT Serverless Computing

Job description

  • Lead a small development team across a portfolio of applications.
  • Contribute hands-on while shaping delivery and engineering standards.
  • Work with Product Managers and business teams to prioritize and allocate work.
  • Deliver strategic and tactical technology solutions.
  • Apply modern DevOps practices and explore emerging technologies, including artificial intelligence and machine learning.

Technologies:

  • AI
  • ARM
  • Azure
  • C#
  • ChatGPT
  • Cloud
  • Copilot
  • Cosmos DB
  • DevOps
  • Machine Learning
  • PaaS
  • Python
  • React
  • SharePoint
  • ASP.NET, We are a fast-growing, forward-thinking professional services organization seeking a Lead Engineer / Lead Developer to help advance our technology. You will work across modern engineering, cloud technologies, and digital delivery, collaborating with Product, Architecture, and wider technical groups to solve real problems and build with purpose. The role is mainly remote, with occasional visits to our Leeds office when needed and light travel to other offices. Salary is dependent on experience.

Requirements

  • We require strong skills in C#, the .NET platform, Python, Azure PaaS (including Azure Functions, Azure Logic Apps, Cosmos DB, Azure App Service, and ARM/Bicep templates), SharePoint, and React.
  • We seek AI-native engineering judgment, including experience building on AI platforms, using AI-enabled tools, and taking experiments through to production-grade operational solutions.
  • We require a good understanding of Azure DevOps processes and an in-depth understanding of Azure Resource Management.
  • Experience with generative AI tools such as Copilot, ChatGPT, or Claude is welcome.

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