Senior Full-Stack Software Engineer (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
£70,000.0 - £75,000.0
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 Platform as a Service (PAAS) Microsoft Copilot Microsoft SharePoint
+9 more
ReactJS Generative AI AI Platforms Bicep Cosmos DB Azure Service Fabric Claude GPT Serverless Computing

Job description

  • Work with a small development team across a portfolio of applications
  • Contribute hands-on while shaping delivery and engineering standards
  • Guide junior and mid-level developers
  • Work with Product Managers and business teams to prioritise 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
  • Copilot
  • Cosmos DB
  • DevOps
  • PaaS
  • Python
  • React
  • SharePoint
  • ASP.NET
  • Cloud
  • Machine Learning
  • Fullstack

More:

We are a fast-growing, forward-thinking professional services organisation on a technology journey focused on purposeful engineering and solving real problems. This mainly remote role is based around Leeds, West Yorkshire, with visits to our Leeds office when needed and occasional, light travel to other offices. You will collaborate with Product, Architecture, and wider technical groups, helping guide a small development team. Salary depends on experience.

Requirements

  • Experience as a hands-on senior full-stack engineer or developer
  • 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
  • AI-native engineering judgement, including building on AI platforms, using AI-enabled tools, and taking experiments through to production-grade operational 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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