Nexthink is hiring a Software Engineer (Virtualization Monitoring & Troubleshooting Platform)

Our project focuses on developing, maintaining, and supporting a solution that enables customers to efficiently monitor and troubleshoot virtualization environments. This platform offers deep visibility and actionable insights, enabling IT and operations teams to ensure optimal performance, reliability, and stability across complex virtual infrastructures. The solution involves building backend and frontend services, as well as connectors to third-party systems, allowing seamless integration and comprehensive data collection across diverse virtualization ecosystems. Responsibilities - Design, implement, deliver, and validate new product features across backend, frontend, and integration layers. - Discover, develop and maintain connectors to external systems and APIs, ensuring reliable data exchange. - Support and enhance existing features, ensuring scalability, performance, and maintainability. - Participate in L3 support activities, collaborating with other teams to troubleshoot and resolve issues. - Contribute to architecture and design discussions, influencing best practices and technical decisions. - Collaborate within an agile, iterative environment, actively participating in sprint ceremonies and roadmap planning. - Use and promote AI on a day-to-day basis, and advocate for improving efficiency and best practices within the team. Qualifications - BSc or MSc in Computer Science or equivalent professional experience. - 5+ years of experience in a Software Engineer role with a strong ability to design, implement, test, and maintain product features end-to-end. - High proficiency in modern Java for backend development. - Some experience with frontend technologies (ideally ReactJS and TypeScript). - Solid understanding of API design, discovery and integration of 3rd party apis (RestAPI, GraphQL) and all that comes with it(resilience, pagination, etc). - Knowledge of cloud environments (AWS, Azure, or GCP; AWS preferred). - Experience with observability tools (e.g., Datadog). - Comfortable using Git and CI/CD build tools. - Exposure to or experience with Artificial Intelligence (AI) concepts, tools, or integrations. - Passion for continuous improvement, lean processes, and high-quality engineering. - Motivation to tackle complex technical challenges and learn new technologies. - Excellent written and spoken English, strong communication and collaboration skills. Nice to Have - Expertise in refactoring and automated testing. - Experience working with virtualization technologies (Citrix, Omnissa, AVD, VMware, Hyper-V, or similar). - Experience with PowerShell scripting for automation and system management. - Practical experience with Kubernetes and Docker.