Principal Software Engineer - AI Native Automation

• 27 July 2026 • 100% • Indefinite term • Lausanne Principal Software Engineer - AI Native Automation • Full time • Department: Employee Experience • Department: Employee Experience • Division: Engineering Company Description Nexthink is the leader in employee digital experience management software. The company offers IT managers unprecedented visibility, allowing them to see, diagnose, and resolve at scale issues affecting employees everywhere, with any application or network, before employees notice the problem. As the first solution enabling IT to move from reactive problem solving to proactive optimization, Nexthink enables more than 1,300 customers to offer better digital experiences to more than 18 million employees. Based in both Lausanne, Switzerland, and Boston, Massachusetts, Nexthink has 9 offices worldwide. LI-Hybrid # Job Description Imagine building the automation platform that will power the future of IT - not just for human operators, but for AI agents themselves. At Nexthink, we are evolving Flow, our enterprise automation product, into something truly new: an AI-native platform where intelligent agents dynamically create and orchestrate executions at scale and with enterprise-grade reliability. This is a top-tier opportunity to shape a product that does not yet fully exist. You will join a small, high-impact team at the very beginning of this journey - working closely with leadership to explore, build, and define what next-generation IT automation looks like. If you thrive in ambiguity, love taking ownership end-to-end, and want your work to have a large-scale impact, this role was designed for you. We are recruiting a Principal Software Engineer to join this initiative. Responsibilities: Reimagine automation for the AI era - evolve Flow from a human-operated platform to a platform that AI agents can leverage to dynamically generate and execute workflows in secure, reliable, and isolated environments. Build at scale - design and deliver distributed, high-throughput, real-time systems that serve enterprise customers with hundreds of thousands of endpoints. Shape the product - work closely with product management and UX to define not only how to build things, but what is worth building and why. Your product instincts matter as much as your technical skills. Integrate generative AI into real product capabilities - use generative AI as a fundamental element, not an add-on, and measure and iterate on its effectiveness. Drive technical direction - influence architectural decisions, raise engineering standards, and mentor teammates as a senior voice on the team. Navigate early-stage exploration - this is a greenfield initiative. Priorities will evolve, approaches will be debated, and the best ideas will win. You will be expected to bring yours. Collaborate with teams - work with Product, Infrastructure, Security, Cost Governance, and AI/ML teams to align engineering strategy with product and business goals. Promote reliability and engineering excellence - drive observability, performance, resilience, and scalability across the stack. Act as a mentor and multiplier - raise the technical bar, support other engineers, and help the team grow through strong technical leadership and collaboration. Qualifications Strong product engineering experience - you have built products used at scale, you understand the why behind design decisions, and you care deeply about the value your work brings to customers. Generative AI in production - you have used generative AI to build real product features, and you can explain how you evaluated, measured, and iterated on those systems. Experience with large-scale distributed systems - real-time, high-throughput, fault-tolerance requirements. You have been there and done it. More than 10 years of backend engineering experience, including more than 3 years in Staff or Principal level positions. Proven success in designing and scaling backend systems for tens of millions of users or high-throughput real-time systems. Expert in Java (17+), with strong experience in distributed systems, concurrency, and high availability. Hands-on expertise in cloud-native architectures - AWS or equivalent, Kubernetes/ECS, containerized deployments, and large-scale database systems. Deep understanding of API design, streaming data, and event-driven systems. Exceptional communication skills - able to influence cross-functional teams and leadership with a technical orientation. Mentorship and team elevation - a strong track record of mentoring engineers, raising the technical bar, and helping teams grow through technical guidance and collaboration. Engineering excellence - CI/CD pipelines, observability, and a sincere commitment to quality are part of how you work, not an afterthought. Assets Advanced experience in AI/ML - model fine-tuning, training. B2B enterprise product experience. The mindset sought More than any single technology,