Senior Full Stack Software Engineer

liveperson · Berlinsenior

En corto

▸Liderazgo en arquitectura frontend con microfrontends y Vue.js.
▸Impulso de IA generativa en todo el ciclo de desarrollo de software.
▸Equipo internacional remoto con enfoque en innovación y escalabilidad.

Fluent English required

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¿Qué piden?

✓5+ años con Java/Node.js
✓Experiencia con Vue.js o React.js
✓Dominio de arquitectura de microfrontends
✓Conocimiento profundo de IA generativa en desarrollo
✓Experiencia en ciclos de vida web completos
✓Experiencia con plataformas en la nube

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Vue.jsReact.jsNode.jsJavaKubernetesCI/CDCloud PlatformGenerative AIMicro Frontend ArchitectureTesting

¿A quién escribirle en liveperson?

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Location: Germany Remote Status: Fully Remote (#LI-Remote) LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world. Position Overview Welcome to the Agent, Admin and Supervisor Experience team at LivePerson! We are a team of 9 engineers located across 4 countries in Israel, Germany, India and Bulgaria. We are looking for a Senior Full Stack Software Engineer to join our team. In this role, you will lead the evolution of our frontend architecture while contributing to our full-stack ecosystem. You will work in a fast-paced environment on projects spanning different company areas, aiming to enhance, scale, and simplify how brands engage with their customers through messaging. We are looking for an individual who wants to do more than just manage, but also shape and innovate! You Will: Key Responsibilities & Impact • Lead the development and enhancement of our core UI platform, leveraging micro frontend architecture for scalability and maintainability. • Lead AI-driven engineering practices. Champion the adoption of AI across the engineering organization by defining best practices, evaluating emerging AI-powered development tools, and establishing workflows that improve developer productivity, code quality, and architectural decision-making. • Mentor teams on effectively leveraging AI while maintaining engineering excellence, security, and maintainability. • Write high-quality, efficient, and maintainable code, while actively participating in code reviews to improve the overall quality of our codebase. • Design and implement innovative, user-facing features, including those integrated with generative AI technologies, to elevate user experience. • Create robust, testable, and performant solutions using Vue.js, Node.js, Java, and other modern technologies. • Take ownership of features from initial concept and UI design to back-end implementation, testing, and deployment. • Drive the continuous improvement of product functionality, performance, and scalability, ensuring high availability and responsiveness. • Mentor and guide junior developers, fostering their professional growth and helping them make impactful contributions to the team. • Contribute to the development and maintenance of CI/CD pipelines, and work closely on managing Kubernetes and cloud infrastructure to enable fast, reliable deployments. You Have: Required Skills & Qualifications • 5+ years of experience with Object-Oriented Programming (Java, C#, etc.) and Node.js • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience). • Extensive experience with Frontend Web technologies: Vue.js (preferred), or React.js • Strong experience with Micro Frontend Architecture and its practical implementation. • Comprehensive knowledge of the entire web development lifecycle, including design, implementation, testing, deployment, and post-deployment support. • Deep expertise in applying Generative AI throughout the software development lifecycle, from architecture and implementation to testing, debugging, documentation, and automation with a track record of improving engineering productivity and quality while defining best practices for AI adoption. • Experience with cloud platform

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