Senior Design Systems Engineer

Deputy is a global SaaS workforce management company with hubs in Sydney, Melbourne, San Francisco and London, plus team members working remotely across the United States. Our platform serves over 1.5 million workers and 375,000 workplaces across 100+ countries. We are backed by top global investors and recently achieved Unicorn status.    At Deputy, we’re improving the world of work, one shift at a time, for 80% of the world’s workforce: hourly workers. These are the dedicated employees who keep our world running – from baristas to nurses, cleaners to delivery drivers, florists to factory workers. Despite their vital role in society, most workplace technology has focused on those workers who sit behind a desk, but at Deputy, we transform the frontline. When businesses use Deputy, their workplaces thrive – the business is more profitable, compliant, and productive, while the workers are more engaged and happier at work.   We're becoming an AI-native company, a commitment that means you'll be empowered (and expected) to use AI tools and thinking in your day-to-day work. You'll have the training, support, and freedom to use AI responsibly and creatively to spark ideas, solve problems faster, and unlock new ways of working.   If you’re passionate about creating solutions that put people first and helping businesses and their teams thrive, join us at Deputy and make an impact where it matters most! We’re looking for a Design Technologist to help shape and build our design system with a strong emphasis on AI-native workflows. This role sits within the design function and focuses on translating design into code while enabling AI to meaningfully participate in that process.   The role also explicitly includes designer enablement — creating low-friction workflows, templates and coaching so designers can rapidly prototype and become confident “design-and-build” prototypers. You will define how the design system is structured so it can power AI-driven design-to-code workflows, and ensure designs can be efficiently generated, validated and maintained in code.