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

Carrington Recruitment Solutions
Manchester, 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
  • PaaS
  • Python
  • React
  • SharePoint
  • ASP.NET
  • Machine Learning

More:

We are a fast-growing, forward-thinking professional services organization undertaking a technology transformation. The role works across modern engineering, cloud technologies, and digital delivery, in collaboration with Product, Architecture, and wider technical groups. It is mainly remote, with visits to our Manchester office when needed and occasional light travel to other offices. Salary is dependent on experience.

Requirements

  • Experience as a hands-on full-stack Lead Engineer or Lead Developer, with the ability to lead people, set standards, and deliver outcomes
  • 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
  • Fluency in AI-native engineering, including building on AI platforms, using AI-enabled tools, and taking experiments through to production-grade solutions
  • Good understanding of Azure DevOps processes and in-depth understanding of Azure Resource Management
  • Experience with generative AI tools such as Copilot, ChatGPT, or Claude is welcome

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