13.10.2026 aktualisiert
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Senior Full Stack Engineer (React / Node.js / NestJS)
Stuttgart, Deutschland
Nur Remote
Master's degree in Computer ScienceÜber mich
Senior Full Stack Engineer and former Frontend Team Lead with 6 years in B2B SaaS and real-time platforms. I build with TypeScript, Node.js/NestJS and React/Next.js, owning architecture through delivery. Recent work includes AI voice ordering, offline-first inventory, and revenue forecasting.
Skills
AI AgentsOpenAIGCPEmber.JsPostgreSQLMongoDBNode.jsRabbitMQDigitaloceanNext.jsTwilioWebSocketEvent-driven ArchitectureReact.jsAWS ECS
Senior Full Stack Engineer (backend-leaning) and former Frontend Team Lead with six years of commercial experience delivering B2B SaaS, high-traffic applications, and real-time trading platforms. My strongest areas are TypeScript, Node.js/NestJS, React/Next.js, system design, and data-intensive backend services. I take ownership from product and architecture decisions through development, rollout, and performance optimization.
At a B2B SaaS platform for restaurants and wholesalers, I used to work on complex product features: offline-first inventory management with stock tracking and replenishment flows; wholesaler analytics for revenue and order forecasting, customer-specific pricing simulations, and product purchasing correlations; AI voice ordering combining real-time telephony, speech processing, and agent orchestration; and multi-tenant notifications with rich content and real-time updates. This work brought together backend architecture, usable interfaces, business logic, and production reliability.
Previously, I led frontend development of a crypto trading interface that supported ~17,000–20,000 users on its first production day. I also have hands-on experience profiling and optimizing data-heavy workflows, including reducing a 50-page scraping process from 10–12 minutes to ~2 minutes and database seeding from ~5 minutes to 18 seconds.
Backend & Architecture: TypeScript, JavaScript, Node.js, NestJS, Express, Strapi; system design, REST, GraphQL, gRPC, microservices, event-driven architecture, API integrations, caching, message queues, WebSockets, and SSE.
Experience with scalable services, concurrency, and performance tuning.
Frontend & Mobile: React, Next.js, Ember.js, Capacitor, Redux Toolkit, Zustand, TanStack Query, MUI, Tailwind CSS, shadcn/ui, and IndexedDB.
Focus on responsive, real-time, and offline-first applications.
Data & Infrastructure: PostgreSQL, MongoDB, MySQL, Redis, ClickHouse, Firebase, TypeORM, Prisma, Kafka, RabbitMQ, AWS Athena, and VerticaDB. Docker, Kubernetes, GCP, AWS, DigitalOcean, Cloudflare, and CI/CD pipelines.
AI & Integrations: OpenAI API, Mastra, Twilio, Deepgram, Cartesia, Vapi, AI agents, real-time STT/TTS, structured data extraction, and voice/telephony workflows.
Additional integrations include Stripe, PayPal, Shopify, and Mapbox.
Quality & Leadership: Jest, Playwright, Sentry, monitoring and profiling; code reviews, mentoring, cross-functional collaboration, and experience leading a frontend team.
I value clear architecture, reliable releases, and measurable improvements over unnecessary complexity.
Erfahrung
Berufserfahrung5 - 10 Jahre
Freelancer seit2024
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
Owned the technical design and end-to-end delivery of major initiatives for a German B2B SaaS platform connecting ~1,200 vendors with restaurant teams. Took features from product and architectural design through backend implementation, web/mobile UI, testing, infrastructure changes, and production rollout.
Built an offline-first inventory system with stock/PAR tracking, replenishment workflows, and reporting. Developed forecasting and financial modeling tools for wholesalers, including revenue and order projections, customer-specific price-change simulations, and analysis of correlated product demand.
Led implementation of AI Voice Ordering, combining real-time speech processing, telephony, Mastra agent orchestration, and backend order workflows. Also built a multi-tenant notification system with targeted delivery, rich content, and real-time updates, and redesigned the sales-rep catalogue and controls.
Improved MongoDB queries, backend processing, and inter-service RPC communication to reduce load on resource-constrained microservices deployed on GCP/Kubernetes. Made slow order, cart, and product operations ~1.5–4x faster, with a focus on sub-second latency for critical workflows.
Core stack: TypeScript, Node.js/NestJS, React, Capacitor, MongoDB, GCP, Kubernetes, and event-driven services.
Led and mentored a frontend team of four engineers during the revival and production launch of a crypto trading platform combining centralized and decentralized exchange integrations, Web3 functionality, trading analytics, and multi-account management.
Planned and led a major frontend architecture overhaul, aligning the application structure with evolving backend services and product requirements. Established development practices, coordinated technical planning, conducted code reviews, and oversaw testing and production rollout.
Designed and developed the core trading interface, allowing users to connect exchange accounts through API integrations, switch between accounts, and execute trades through a unified interface. Implemented advanced trading functionality, including TradingView chart overlays, Take Profit/Stop Loss order management, and trading analytics. Optimized the trading page, reducing its initial JavaScript payload by approximately 5x.
Also contributed to Web3 integrations and platform features involving referral programs, trading competitions, and PnL visualization. Worked closely with backend engineers to ensure reliable real-time data flows and consistent trading workflows.
The platform launched into production and served approximately 17,000–20,000 users on its first day.
Contributed to business-critical backend services at a large social-discovery company whose products served millions of monthly users. Developed features across registration, resale, RTB, and user-event tracking systems, including event-driven registration workflows, B2B resale API integrations, and marketing automation flows.
Alongside feature development, investigated production incidents, analyzed distributed operational data using AWS Athena, MongoDB, MySQL, and VerticaDB, and optimized high-throughput event-processing pipelines built on Kafka and Redis.