Lead Engineer - Front End & Design System
Tech Specialist (Front-end & Design System) TL1
Location: London, UK - Hybrid
Team: Global Engineering - Commerce & Customer Care
Visa: This role is based in the UK and requires existing right to work in the UK.
Kaluza Overview
Kaluza is the Energy Intelligence Platform, turning energy complexity into seamless coordination. We help energy companies overcome today’s challenges while accelerating the shift to a clean, electrified future.
Our platform orchestrates millions of real-time decisions across homes, devices, markets and grids. By combining predictive algorithms with human-centred design, Kaluza makes clean energy dependable, affordable and adaptive to everyday life.
With teams across Europe, North America, Asia and Australia, and a joint venture with Mitsubishi Corporation in Japan, we power leading companies including OVO, AGL and ENGIE, as well as innovators like Volvo and Volkswagen.
What will I be doing?
You will be fully embedded in the Customer Care org, specifically working on KAE (Kaluza Agent Experience) which is integral to building and enabling an energy specific agent product for servicing customers across multiple channels and the enterprise design system (Nebula) that will enable the next phase of scale for Kaluza. You will be the design system technical expert for the team and the hands-on bridge between design and engineering, turning design intent into accessible, production-quality React components and patterns, bolstering the existing team members with specific technical depth in building and scaling design systems across internal teams. You will work with designers as equal partners.
Key responsibilities include:
Working in a product development team with internal users to understand emerging and existing needs to steer the development of the enterprise design system, and supporting the teams who build with it
Working closely with designers as equal partners, and with product and engineering, to help shape the future of the global Agent Experience product and the design system
Designing, building and shipping React components and patterns that conform to WCAG 2.2 AA to help the team meet their delivery goals
Reviewing code from your colleagues, including contributions from outside the team, and setting the quality bar for design fidelity and accessibility
Making the design-to-code workflow work in practice, including design tokens, handoff and component documentation
Running the contribution process so that teams beyond our own can propose, build and ship into the design system, and leading changes that affect several apps from first proposal to final migration
Creating and delivering against the technical strategy for your team in partnership with the engineering manager
Promoting engineering, design and delivery best practices within the team, and coaching the engineers and designers who use the design system
Shaping how we use AI-assisted development in design system work
Championing progressive architecture and reviewing design solutions with other engineering leaders
Representing the design system to engineering and wider stakeholders, and helping set its direction
Working within a team of other senior leaders responsible for designing and evolving the architecture of the enterprise design system at Kaluza
About You
Ideally you'll have/be:
Deep experience building Frontend components with React and TypeScript
Deep experience designing, building and running design systems, including tokens, component APIs, documentation and versioning
Knowledge of implementing and maintaining WCAG 2.2 AA accessibility, with practical empathy for users with accessibility needs
Good design and UX judgement, starting from the user, and comfortable challenging and being challenged by designers
Experience running changes across multiple apps
Strong communication skills, comfortable working with stakeholders across engineering, design, product and the wider business, holding opinions loosely and raising what matters even when it is inconvenient
A bias to action and a ‘Can do’ approach to problem solving in the face of uncertainty