zvoove is seeking a Senior AI-Native Fullstack Engineer to help build modern, customer-facing software for the temp-staffing industry. You will turn ambiguous business requirements and complex existing systems into production-grade backend services, APIs, integrations, internal tools, and intuitive user interfaces. TypeScript is central to our technology stack, and while .NET and C# are strongly valued, we welcome engineers with backgrounds in other strongly typed languages such as Java. You should be comfortable working across different stacks and languages. AI and LLM tooling are central to how we work; you will apply AI-native workflows to move faster, validate assumptions, and ship high-quality production solutions with a focus on correctness and maintainability, owning outcomes from exploration to production. Responsibilities include Fullstack Product Engineering (customer-facing applications, backend services, APIs, internal tools, automation, job runners, and configurable workflows), Backend & Domain Logic (designing maintainable services, APIs, business logic, asynchronous processes, validation rules, and reusable components), Frontend Engineering (building intuitive UIs with TypeScript and modern frontend frameworks), Integrations (connecting applications with ERP systems, external APIs, databases, queues, files, and third-party services), and Cloud & Production Ownership (deploying and operating reliable cloud solutions, preferably AWS, with monitoring, alerts, security, performance, cost, and operational reliability). This role is hybrid and based in Munich, Germ

zvoove is seeking a Senior AI-Native Fullstack Engineer to help build modern, customer-facing software for the temp-staffing industry. You will turn ambiguous business requirements and complex existing systems into production-grade backend services, APIs, integrations, internal tools, and intuitive user interfaces. TypeScript is central to our technology stack, and while .NET and C# are strongly valued, we welcome engineers with backgrounds in other strongly typed languages such as Java. You should be comfortable working across different stacks and languages. AI and LLM tooling are central to how we work; you will apply AI-native workflows to move faster, validate assumptions, and ship high-quality production solutions with a focus on correctness and maintainability, owning outcomes from exploration to production. Responsibilities include Fullstack Product Engineering (customer-facing applications, backend services, APIs, internal tools, automation, job runners, and configurable workflows), Backend & Domain Logic (designing maintainable services, APIs, business logic, asynchronous processes, validation rules, and reusable components), Frontend Engineering (building intuitive UIs with TypeScript and modern frontend frameworks), Integrations (connecting applications with ERP systems, external APIs, databases, queues, files, and third-party services), and Cloud & Production Ownership (deploying and operating reliable cloud solutions, preferably AWS, with monitoring, alerts, security, performance, cost, and operational reliability). This role is hybrid and based in Munich, Germ