• Partner with engineering leadership to define and execute the roadmap for infrastructure unification • Drive evolution toward cloud-native environments • Ensure core data and messaging layers are optimized for global scale • Lead developer productivity engineering to reduce cycle times across workflows • Coach and mentor engineering managers and technical leaders

• Develops, tests, deploys, and maintains software. • Consistently achieves results, even under tough circumstances. • Actively seeks ways to grow and be challenged. • Creates new and better ways for the organization to be successful. • Fields questions from product and engineering teams.

Role Description As a full-stack engineer, you work across the whole gift card product: the screens customers use and the services running behind them. Day to day, you will: - Own features from discovery to production: Partner directly with other teams to scope ideas, design architectures, and ship features - collaborating closely with senior peers while leveraging AI tools to iterate with extreme speed. - Build and refine the gift card experience, from buying a card to redeeming it. - Develop the back-end that powers it: APIs, services, and data models. - Work on the partner side too, the B2B self-serve product and the embeddable widgets that let other companies plug Joy_ in. - Keep the codebase healthy, with shared components, design tokens, sensible tests, and an eye on performance and accessibility. Qualifications - 3+ years building modern web products, full-stack. - Genuinely comfortable on both the front-end and the back-end. - A deep sense of product ownership. - An exceptional teammate. - An elite execution mindset. - A real eye for detail. - You think in systems. - A pragmatic approach to quality. - Excellent spoken and written English. German is a plus, not a must. Requirements - Show us what you have built and shipped. - You don't wait to be told what each step is. When you see a broken piece, you take it upon yourself to fix it. - You care about the product actually working, not just clearing backlog tickets. - Proactively communicates, communicates clearly in a remote async environment. - Enjoys code reviews as a tool for teaching and learning. - Uses modern tools (like AI terminal agents) to strip away boilerplate and focus on architecture, security, and user delight. - Cares deeply about typography, layout, and motion. - Comfortably navigates Figma to extract design intent, tokens, and variables. - Weighs up data models, API design, and performance rather than working around them. - Unit and e2e tests where they earn their keep, with steady attention to performance and accessibility. Benefits - Real responsibility: Work across the whole product and sit close to the founders every day. - Growth: Build on the frontier of AI commerce alongside senior operators and engineers who have scaled before. - Autonomy: Remote-first, with the freedom to work how you work best. - Meaningful equity: We want you to win with us. - Real impact: Watch what you build go live in front of a whole country. Fast. Company Description At Joy_, we believe gifting should feel personal, playful, and full of surprise – basically everything today’s gift cards are not. We're here to reimagine gifting for the modern world, turning it from a transactional experience into a token of love – customizable, meaningful, and radically flexible. - Our universal gift card can be personalized endlessly and redeemed for every product in every online store. - One gift card = the whole internet. - We're building the gifting backbone of e-commerce – a product concierge that turns intent into instant access. - Backed by industry experts and angel investors, we’ve raised our Pre-Seed round and are growing fast.

• Work with vague or high-level requirements, identifying the real problem and translating it into clear technical solutions; • Assess risks, analyze trade-offs, define technical approaches, and justify decisions as needed; • Build, deliver, and maintain solutions in production environments, ensuring stability and scalability; • Handle production support, including debugging, incident resolution, and performance improvements; • Develop backend solutions predominantly using Python (60–70%) while contributing to frontend development using React.js (30–40%); • Integrate AI capabilities into production systems, addressing orchestration, high-demand workloads, and scalability challenges; • Collaborate with architects, senior engineers, and product/business stakeholders to define and evolve solutions;