Lead Front End Engineer

How We Think About AI

At StarCompliance, AI is not a side experiment or an isolated specialist capability. We treat it as a foundational part of modern software engineering and SaaS platform development.

We expect engineers to:

• Actively use AI-assisted engineering tools as part of their daily workflows.

• Apply AI to improve design quality, development velocity, automation depth, operational insight, and overall engineering effectiveness.

• Ensure AI-generated outputs are validated, auditable, and compliant with security, privacy, and regulatory standards

Frontend Architecture & Engineering

• Own frontend architecture and technical direction for scalable, secure, maintainable applications.

• Lead hands-on React and TypeScript development, contributing production code and setting the team standard.

• Set frontend standards for code structure, state management, API integration and code review.

• Own frontend performance and reliability, using telemetry and monitoring to find and fix issues.

• Build fast, clear interfaces for complex, data-intensive compliance workflows.

Full-Stack Delivery

• Deliver features end to end, including the backend services, APIs and data changes they need.

• Shape API contracts and service designs with backend, Architecture and Platform teams.

• Ensure frontend–backend integrations are secure, well tested and architecturally aligned.

Design System & Frontend Foundations

• Own the strategy, architecture and evolution of our enterprise design system.

• Evolve the design system into an AI-consumable platform for engineers, coding assistants and autonomous agents.

• Define reusable components, design tokens, interaction patterns, layouts and accessibility standards.

• Keep the design system and frontend foundations aligned with wider technical architecture.

Quality, Testing & Delivery

• Set automated testing strategy across unit, integration, end-to-end, visual regression and accessibility testing.

• Embed frontend quality gates for code quality, test coverage and security in CI/CD pipelines.

• Build accessibility into components, patterns and automated validation.

• Balance delivery speed with usability, consistency, maintainability, security and user trust.

Agentic Product Development

• Define how AI agents turn product intent into interfaces using approved components and standards.

• Maintain agent instructions, reference implementations, rules and machine-readable frontend context.

• Embed design system and frontend knowledge into agentic workflows with AI Enablement and Engineering.

• Govern agent-generated interfaces and code, including accessibility, visual regression and component conformance checks.

Technical Leadership & Team Management

• Line-manage a blended team of permanent and consultancy UI Engineers, covering performance, coaching, development, workload and hiring.

• Lead the Design System Forum with Product, Engineering and Architecture to govern standards and priorities.

• Act as frontend technical authority, aligning with Product, Architecture, Security and Platform on priorities and regulatory requirements.

• Drive continuous improvement in delivery predictability, system quality and team effectiveness.

• Carry out other duties as reasonably required at Associate Director level.

• SaaS, enterprise or regulated software experience, such as financial services or compliance.

• Storybook, visual regression, automated accessibility testing and frontend quality tooling.

• Cloud-based environments and secure engineering practices.

• Managing permanent employees alongside consultancy partner resources.

• Product analytics, usability testing and behavioural telemetry.