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Nexthink is transforming its Flow enterprise automation product into an AI-native platform where intelligent agents can dynamically create and orchestrate executions securely at enterprise scale. You'll join a small, collaborative engineering team working at the intersection of automation, distributed systems, cloud technologies, and generative AI.
In this role, you'll build and improve backend product capabilities—designing, implementing, testing, and maintaining services and features for the Flow platform. You'll work on distributed systems that operate reliably and efficiently across large-scale enterprise environments, owning features end-to-end from technical design through implementation, testing, deployment, monitoring, and iteration.
You'll collaborate closely with experienced engineers on technical solutions, participate in code reviews and technical discussions, and work cross-functionally with Product Management, UX, Infrastructure, Security, and AI/ML teams to deliver complete product experiences. The role emphasizes building reliable software through observability, testing, performance optimization, scalability, and operational reliability. You'll contribute to an evolving product in an environment where priorities and technical approaches may shift as the team learns and iterates.
Nexthink is a leader in digital employee experience management, serving over 1,500 customers and providing insights to more than 25 million employees globally. The company operates with over 1,000 employees across 5 continents and maintains offices in 9 locations worldwide, with dual headquarters in Lausanne and Boston.
The Lausanne office features a beautiful location with views of Lake Geneva, situated next to the Prilly-Malley train station. The company offers a hybrid work model, flexible hours, unlimited vacation (plus 25 days of holidays), free fitness center access, public transport reimbursement, and regular company and team events.
**Requirements:**
- 2–3+ years of professional software engineering experience, ideally focused on backend development
- Strong programming fundamentals and hands-on experience with Java
- Backend development experience: practical knowledge of APIs, databases, asynchronous processing, and common backend architecture patterns
- Exposure to distributed and cloud-based systems (cloud environments, containers, messaging systems, Kubernetes, or distributed architectures)
- Engineering fundamentals: experience with testing, version control, CI/CD, debugging, and writing clean, maintainable code
- Problem-solving skills: ability to break down technical problems, investigate issues, and work independently while knowing when to ask for support
- Collaborative mindset: comfortable working with other engineers and cross-functional partners, participating in code reviews, and contributing to technical discussions
- Product mindset: interested in understanding the customer problem behind a feature, not just implementing technical requirements
- Interest in AI and automation: curiosity about generative AI, intelligent agents, and automation technologies (previous production GenAI experience welcome but not required)
**Nice-to-Haves:**
- Experience with AWS or another public cloud platform
- Exposure to Docker, Kubernetes, Kafka, or other messaging and event-driven technologies
- Experience working with distributed systems or scalable backend applications
- Experience with real-time or high-throughput systems
- Experience in B2B or enterprise software
- Professional, academic, or personal projects involving generative AI, LLMs, or AI agents
