Senior Lead Dev Engineer for AI-Driven Architecture

Referment; Greater London; On-site; GBP 75,000 - 110,000; Full time

Job summary

Referment is seeking a senior/lead software engineer to partner with product teams, shaping architecture and delivering high-impact features across platforms. You will contribute to AI-enabled development, design reusable components, and mentor engineers while ensuring secure, scalable production systems.

The role requires hands-on coding in C#/.NET, strong Azure expertise, and the ability to communicate complex tech options to both technical and business stakeholders.

Qualifications

• Strong, demonstrable experience with C#/.NET.
• Azure PaaS/SaaS offerings, including Functions, App Services, Service Bus, Storage, Event Grid, Application Insights, Azure Batch.
• ASP.NET WebAPI (RESTful) plus relational (Azure SQL) and non-relational (CosmosDB, Table Storage) databases.
• Azure DevOps.

Responsibilities

• Collaborate with product delivery teams, embedding where useful, to develop technical architecture recommendations and implementation support.
• Identify opportunities to simplify, standardise or consolidate solutions into reusable components and services.
• Help drive the evolution of SDLC practices for AI-enabled development, reducing friction while maintaining quality and sustainable delivery.
• Champion proportionate engineering practices: automated testing, CI/CD, coding standards, observability, technical debt management and maintainable code.
• Contribute hands-on to the design and development of shared packages and services.
• Work with platform and infrastructure teams to keep solutions secure, compliant, operable and supported in production.
• Mentor developers and act as an approachable technical authority, translating business needs into practical technical options and trade-offs.

Job description

Referment is seeking a senior/lead software engineer to partner with product teams, shaping architecture and delivering high-impact features across platforms. You will contribute to AI-enabled development, design reusable components, and mentor engineers while ensuring secure, scalable production systems.

The role requires hands-on coding in C#/.NET, strong Azure expertise, and the ability to communicate complex tech options to both technical and business stakeholders.