Role Description Als Full‑Stack Developer:in baust du produktionsreife Features End‑to‑End – vom UI/UX über APIs bis zur Datenbank – und verantwortest Stabilität, Performance und Sicherheit unserer Web‑ und Mobile‑Apps. Du arbeitest eng mit Product, Design und Content zusammen und triffst pragmatische, datengetriebene Entscheidungen. - Pflege und Ausbau von Web (Next.js) und Mobile (React Native). - Entwicklung und Betrieb von Node.js-Services (REST), Integrationen zu Drittanbietern (Stripe, Firebase, Adjust, Meta/Google). - Datenmodellierung und effiziente SQL-Abfragen (MySQL), Migrationsmanagement. - End-to-End-Entwicklung: Feature-Umsetzung vom UI/UX über API bis zur Datenbank. - Suche & KI: Aufbau von Retrieval/Recherche (Azure AI Search, Embeddings), Anbindung von LLM-APIs (Azure OpenAI) inkl. Prompt-/RAG-Pipelines. - DevOps: IaC (Terraform), CI/CD, Observability, Security/Compliance (DSGVO). - Qualitätssicherung: Unit/E2E-Tests, Code-Reviews, Monitoring/Alerting. - Zusammenarbeit mit Product/Design/Content; pragmatische, datengetriebene Entscheidungen. Verantwortungsbereiche (Beispiele): - Lernplan & Content-Engine: Algorithmen für Tagespensum, Parallel-Lernen; Transparenz im UI. - Search/RAG: Pipeline von Foren-/Content-Daten → Normalisierung → Embedding → Vektor-Index → Chat/Antworten mit Quellen. - Checkout & Subscriptions: Web/App-Käufe, Rabatt-Logik, GA4-Events/Kohorten, Fehlertoleranz & idempotente Webhooks. Qualifications - Frontend: NextJS und React - Mobile: React Native (inkl. Navigation, Platform-APIs), grundlegendes Verständnis iOS/Android Deployments. - Backend: Node.js/TypeScript, Express, Auth (JWT/OAuth), Caching (Redis), Rate-Limiting. - Datenbanken: MySQL (Schemas, Indizes, Joins, Views), Datenbankmigrationen. - APIs/Integrationen: Stripe (Subscriptions, Webhooks), Firebase/GA4 (Events/Conversions), App-Stores (Google Play, App Store) Grundverständnis. - Testing: Jest, React Testing Library. - Git & Collaboration: sauberes Branching/PRs, Code-Reviews, GitHub Actions. Requirements - Search & Vektoren: Azure AI Search (Vektor-Index, Skills, Indexer), Embeddings (OpenAI/Azure, lokale Pipelines), ReRanking. - Cloud & Infra: Azure (App Service, Storage, Key Vault, Private Endpoints, RBAC), Terraform (Remote State, Imports). - KI-Integrationen: Azure OpenAI Deployments/Provisioning-Modelle, Data-Zone-Konzepte, PII-Filtering, Prompt-Sicherheit. - Analytics/MarTech: Adjust/MMP-Setups, Meta/Google App-Events-Mapping, Consent/Tagging (GTM), A/B-Testing. - Security/Compliance: DSGVO, Datenresidenz (EU), Least Privilege (RBAC/MIs), Secrets-Management (Key Vault), Auditability. - Payments: komplexe Stripe-Flows (Schedules, Proration, Trials, Billing Portal), Steuern/Rechnungen. - Performance: Web Vitals, Bundle-Analyse, Profiler-Tools (why-did-you-render, React Profiler). Benefits - Wettbewerbsfähiges Gehalt - Laptop und Bildschirm nach Wahl - Flexible Arbeitszeiten und Home-Office-Möglichkeiten Company Description Wir sind ein schnell wachsendes Startup, das Juristische Bildung revolutioniert. Unser Fokus liegt auf datengetriebenem Wachstum und der kontinuierlichen Optimierung unserer Customer Experience. Als Teil unseres Teams hast du die Chance, in einem dynamischen Umfeld zu arbeiten und direkten Impact auf unseren Erfolg zu haben.

• Own the definition, design, development, delivery and quality for large feature sets, subsystems, or products. • Deliver highly scalable, available, and fault-tolerant production applications. • Help prevent and investigate production issues. • Build architecture design, ensure the quality of architecture and design of systems, influence product roadmap, and take ownership and responsibility over new projects. • Lead code/design reviews to ensure smooth daily operations and accurate planning • Participate in the entire application lifecycle, focusing on coding and debugging • Write clean code to develop functional applications • Identify bottlenecks in systems and optimize performance • Liaise with developers, designers and system administrators to identify new features • Manage cutting-edge technologies to improve legacy applications • Gather and address technical and design requirements • Set up and maintain environment configurations and monitor system health • Provide training and support to internal teams • Contribute as a Technical Team Lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning. • Introduce and enhance tools to allow greater automation and operability of services. • Interface with customers and other business stakeholders to effectively deliver software products that meet their needs • Establishing and maintaining standards for the engineering organization.

• Evaluate and select the appropriate GPU computing technologies and frameworks (e.g., CUDA, Kokkos, or other modern GPU programming models) based on performance, portability, maintainability, and long-term architectural goals. • Design and implement the GPU computing layer within our desktop software stack, introducing GPU acceleration for computationally intensive workloads. • Integrate GPU development into the existing build and tooling ecosystem, including configuring the build system, dependency management, CI/CD workflows, and developer tooling to support GPU targets. • Port and optimize mesh processing algorithms and other performance-critical components from CPU implementations to GPU-accelerated implementations. • Analyze performance bottlenecks and apply GPU optimization techniques such as memory layout optimization, kernel design, and efficient data transfer between CPU and GPU. • Establish best practices, documentation, and architectural guidelines for GPU development to enable maintainable and scalable use of GPU acceleration across the codebase. • Collaborate with other engineers to identify additional opportunities for GPU acceleration and ensure seamless integration with the broader application architecture.

• Actively participate in the full lifecycle of solution conception and development, from the Discovery process, helping to identify the right problem to solve. • Contribute to technical refinements to structure solution designs. • Collaborate with interdependent squads to ensure alignment and integration of solutions. • Develop frontend (React) and backend (.NET Core) layers as needed, including unit tests to ensure quality and security. • Ensure proper configurations for DevOps processes, planning and monitoring production deployments. • Monitor the post-release environment to ensure stability and performance. • Apply advanced AI techniques using tools such as Python (LangChain, LangGraph), RAG, prompt engineering and agent evaluation (EVALs). • Work with AWS infrastructure (DocumentDB, Lambda, ECS, S3, Redis) and CI/CD tooling (GitHub Actions, Terraform, Docker). • Collaborate in the development and integration of intelligent agents; knowledge of MCP and Go is a plus.