Overview: Nexthink is hiring a Staff Software Engineer to drive the AI-native automation initiative for Flow, our enterprise automation platform. This ground-floor opportunity lets you shape a product that does not yet exist, partnering with leadership to define the next generation of IT automation. The role is based in Lausanne, Switzerland, with a hybrid work model balancing office presence and remote work. Responsibilities: Reimagine automation for the AI era by evolving Flow from a human-operated platform to one that AI agents can leverage to dynamically generate and execute workflows; design and ship large-scale, distributed, real-time systems serving enterprise customers; collaborate with Product Management and UX to decide what to build and why; integrate Generative AI as a core capability; set technical direction, raise engineering standards, and mentor teammates as a senior voice; participate in early-stage exploration in a greenfield project; partner with Product, Infrastructure, Security, Cost Governance, and AI/ML teams to align engineering with product and business goals; champion reliability and engineering excellence through observability, performance, resilience, and scalability; mentor and uplift the team through technical leadership and collaboration. Qualifications: Strong product engineering background; experience with Generative AI in production; experience with large-scale distributed systems with real-time requirements; 10+ years of backend engineering experience, including 3+ years in Staff or Principal roles; expert in Java (17+), distributed system

Overview: Nexthink is hiring a Staff Software Engineer to drive the AI-native automation initiative for Flow, our enterprise automation platform. This ground-floor opportunity lets you shape a product that does not yet exist, partnering with leadership to define the next generation of IT automation. The role is based in Lausanne, Switzerland, with a hybrid work model balancing office presence and remote work. Responsibilities: Reimagine automation for the AI era by evolving Flow from a human-operated platform to one that AI agents can leverage to dynamically generate and execute workflows; design and ship large-scale, distributed, real-time systems serving enterprise customers; collaborate with Product Management and UX to decide what to build and why; integrate Generative AI as a core capability; set technical direction, raise engineering standards, and mentor teammates as a senior voice; participate in early-stage exploration in a greenfield project; partner with Product, Infrastructure, Security, Cost Governance, and AI/ML teams to align engineering with product and business goals; champion reliability and engineering excellence through observability, performance, resilience, and scalability; mentor and uplift the team through technical leadership and collaboration. Qualifications: Strong product engineering background; experience with Generative AI in production; experience with large-scale distributed systems with real-time requirements; 10+ years of backend engineering experience, including 3+ years in Staff or Principal roles; expert in Java (17+), distributed system