Frontend Engineer

We're looking for an exceptional Senior Frontend Engineer to shape the visual and interactive experience of our growing MLOps framework. This company is transforming how AI engineers build production-ready pipelines, and we need experienced frontend talent to take our UI/UX to the next level.

This isn't just another frontend role. You'll be architecting intuitive interfaces that make complex ML workflows understandable and navigable, directly impacting thousands of ML and AI Engineers world wide., * Conceptual planning and development of the open-source DashboardTech used: React, Tailwind, React-Query, react-flow

• Developing their Pro applicationTech used: Next.js, Tailwind, React-Query, Radix-components/Shadcn
• Maintaining our OSS, shared component library
• Developer Experience: Help improve frontend development velocity
• Technical Direction: Influence product roadmap with your technical expertise
• Work closely together with designers and backend developers to improve usability

Tech You'll Work With

• Core: React, TypeScript, Next.js, Tailwind CSS
• State Management: React-Query
• Component Systems: Building with and extending Radix/Shadcn components
• Visualization: Complex data visualization with react-flow, * Technical Growth & Ownership: Exposure to diverse enterprise ML environments and cutting-edge MLOps challenges
• Technical Challenge: Visualize complex ML pipelines with intuitive interfaces that balance power and simplicity
• Framework Evolution: Lead the evolution of our frontend architecture and make high-impact technical decisions
• Open Source Impact: Build your reputation in the open-source community while contributing to a widely used ML tool

• Proven Experience: 5+ years of substantial frontend development experience, with demonstrated complexity in your work
• Component Architecture: Strong history of designing reusable component systems and maintaining component libraries
• UI/UX Sensibility: Natural talent for simplifying complex interfaces with elegant solutions
• ML/Data Interest: Passion for machine learning or data systems (experience is a plus, but curiosity is essential)
• Open Source Mindset: Enthusiasm about building in public and engaging with community contributors

Otto.de, eine der größten E-Commerce-Plattformen Europas, hat einen vertikalen Systemschnitt mit fachlicher Abgrenzung (z.B. User, Order oder Recommendations). Unsere crossfunktionalen Teams sind verantwortlich für die vertikalen Teilprodukte - fachlich, technisch und auch für den Betrieb der Microservices in der AWS. Technische Entscheidungen werden von uns und nicht durch Manager getroffen. Ebenso gestalten wir die Art unserer agilen Zusammenarbeit selbst und finden gemeinsam neue Wege.