Tribe Lead

• Own the tribe’s technical direction and roadmap, including architecture decisions, technology choices, technical debt, engineering priorities and technical risk.
• Provide hands-on technical leadership, contributing to solution design, coding, code reviews, technical spikes and proofs of concept while setting high engineering standards.
• Take end-to-end ownership of engineering quality, including automated testing, CI/CD, code review, observability, security and non-functional requirements.
• Lead, manage and develop engineers, providing effective 1:1s, performance and career development, recruitment support, onboarding and a strong engineering culture.
• Translate architectural direction into effective technical delivery, ensuring solutions align with wider architecture, security and regulatory standards.
• Represent the tribe in architecture reviews, engineering forums and cross-team technical discussions, collaborating closely with architecture, engineering, product and delivery stakeholders.
• Champion AI-native engineering practices, using tools such as GitHub Copilot, Claude Code or equivalent to improve development quality, productivity and engineering capability.
• Maintain high-quality technical documentation, including Architecture Decision Records, API documentation, runbooks and system documentation, while driving continuous improvement across the tribe.

Experience & Technical Expertise

• Significant hands-on software engineering experience, with a strong track record of technical leadership across complex, production-grade systems.
• Proven experience leading and line managing engineering teams, including performance management, career development, hiring and building high-performing teams.
• Deep expertise in C#, modern .NET and clean architecture, with the ability to lead through code review, technical design and engineering best practice.
• Strong Azure cloud-native engineering experience, ideally including Azure Functions, Service Bus, Key Vault, managed identities and scalable integration patterns.
• Extensive experience with REST APIs, event-driven architecture, microservices and enterprise integration patterns.
• Strong knowledge of CI/CD and automated testing, using Azure DevOps, GitHub Actions or similar, alongside observability, logging, monitoring and distributed tracing.
• Practical understanding of security-by-design, including secrets management, dependency scanning, SAST, access controls and secure development practices.
• Experience applying AI-assisted development tools, such as GitHub Copilot, Claude Code or Cursor, with an understanding of how to govern their effective use.
• Experience working within an architecture-led engineering environment, contributing to technical decisions while operating within established enterprise standards.
• Experience within financial services or another regulated environment is highly desirable, particularly where GDPR, regulatory compliance, auditability and system reliability are important.
• Experience of technology transformation, including legacy system decommissioning, platform replacement or third-party SaaS integration, would be advantageous.