Design Lead / Senior Solution Architect (82323F3)

Referment Limited
Manchester, United Kingdom
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Bash Shell C Sharp (Programming Language) Cloud Computing Cloud Computing Security Continuous Integration Software Design Patterns DevOps
+31 more
Distributed Systems Identity and Access Management Python (Programming Language) Machine Learning Microsoft SQL Server MongoDB NoSQL Object-Oriented Software Development Windows PowerShell Software Tools OpenAI Web Application Frameworks Web Platforms Scripting .NET Core GitHub Copilot Retrieval-Augmented Generation Large Language Models Prompt Engineering Togaf Event Driven Architecture AI Platforms AngularJS Infrastructure Automation Frameworks Information Technology HuggingFace Cosmos DB Data Management Restful APIs Domain Driven Design Microservices

Job description

You’ll own end-to-end solution architecture for enterprise-grade applications and platforms, defining blueprints, design standards and technology roadmaps, and leading architecture reviews that set the standard for engineering teams. You’ll produce high-level and low-level designs that address functional and non-functional needs, and drive decisions on scalability, resilience, security, observability and performance.

Day to day you’ll work across product, business stakeholders, UX and engineering leaders, and partner with DevOps and cloud teams to shape deployment and operating models. You’ll design cloud-native solutions on AWS, architect microservices, event-driven systems and API-led integrations, and define cloud security, networking and disaster-recovery approaches. A significant part of the mandate is responsible use of AI: integrating services such as Azure OpenAI, AWS Bedrock and Hugging Face, and championing AI-assisted engineering and intelligent automation. You’ll also mentor development teams and present architecture strategies to executive audiences.

Requirements

Strong experience designing enterprise-scale solutions with .NET, .NET Core, C# and modern frameworks.

Deep knowledge of solution architecture principles, design patterns, domain-driven design and object-oriented design.

Proven expertise in microservices, event-driven and distributed systems, and API-led integration.

Experience with RESTful API design and enterprise integration patterns.

Modern web platform design using Angular.

Relational and NoSQL data platforms such as SQL Server, MongoDB and Cosmos DB.

Hands-on use of AI-enabled engineering tools such as GitHub Copilot or equivalents, plus experience integrating AI services and evaluating AI/ML-driven solutions.

Familiarity with prompt engineering, LLM integration, RAG architectures and AI-powered automation.

Strategic thinking and stakeholder management, with the ability to make complex technical concepts clear to non-technical audiences.

A degree in computer science or a related discipline, or equivalent practical experience.

Desirable

Architecting and optimising large-scale distributed cloud systems.

Performance engineering, observability, monitoring and operational excellence.

DevOps, CI/CD, Infrastructure as Code and platform automation.

Enterprise security architecture, identity management and compliance frameworks.

Scripting with PowerShell, Python or Bash.

AWS Solutions Architect, TOGAF or equivalent certifications.

This could suit a solution architect or technical design lead already operating across enterprise systems who wants broader architectural ownership, or an experienced engineer ready to step into a lead architecture role.

About the company

Referment is working with a financial services technology company that builds enterprise data management and automation platforms for banks and asset managers. Engineering is organised around product and platform teams, and architecture is central to how new cloud, distributed and AI capabilities are introduced.

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