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Вакансия опубликована 7 дн. назад - шансы на ответ снижаются.
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Описание вакансии
Текст:
TL;DR
Full Stack Developer (AI/.NET): Building scalable, AI-powered logistics applications with an accent on frontend architecture, cloud-native Azure services, and distributed backend systems. Focus on designing microservices, solving concurrency and synchronization challenges, and integrating data-driven AI features across the platform.
Location: IL; hybrid work flexibility
Company
Ship4wd is a fast-growing logistics technology startup building scalable, AI-powered solutions for global supply chains.
What you will do
- Design and develop scalable web applications with a strong frontend focus.
- Build and evolve frontend architecture for large-scale applications using Angular and modern frontend practices.
- Develop scalable backend services and microservices with .NET, ASP.NET Core, REST APIs, Azure Service Bus, and asynchronous messaging.
- Extend and integrate the GrandNode-based Ship4wd Sourcing platform and its modular APIs.
- Build and deploy cloud-native Azure solutions using Azure Functions, Service Bus, Blob Storage, and AI services.
- Optimize performance, scalability, reliability, concurrency, synchronization, and distributed locking across the frontend, backend, and infrastructure.
Requirements
- 4+ years of full stack development experience, including strong frontend and solid backend development skills.
- Strong proficiency in .NET 6+, ASP.NET Core, Web API, Angular, Azure, HTML5, CSS3, SCSS/SASS, and responsive design.
- Experience with event-driven architecture, CQRS, DDD, microservices, inter-service communication, and asynchronous messaging.
- Practical experience with MongoDB or other NoSQL databases, Redis or distributed caching, and Azure Service Bus or other message brokers.
- Experience integrating AI/ML systems and working with concurrency, synchronization, and distributed or local locking.
- Strong problem-solving, communication, collaboration, and attention-to-detail skills.
Nice to have
- Experience with Vue.js, MediatR, Docker, Kubernetes, or other containerization technologies.
- Exposure to AI/ML frameworks such as TensorFlow, PyTorch, or Azure ML.
- Familiarity with Agile/Scrum methodologies.
- Background in logistics or supply chain technology.
Culture & Benefits
- Work on AI-powered logistics solutions.
- Hybrid work flexibility.
- Competitive salary and benefits.
- Collaborative and inclusive culture.
- Opportunities for professional growth and technical impact.
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