Senior Software Engineer 80-100% (f/m/d) Zurich • Bendern

LGT is the largest Private Banking and Asset Management group in the world to be owned by an entrepreneurial family. As the family office of the Princely House of Liechtenstein, we have years of experience in the management of sizeable sums of assets.

As a Senior Software Engineer, you will be a key member of LGT’s GenAI team in Zurich, co-creating production-grade applications together with business teams and engineering partners. 

In this role, you will design, build, and operate scalable software solutions end-to-end across backend and frontend, with a strong focus on software engineering excellence, architecture, security, and maintainability. You will work on modern web applications, APIs, enterprise integrations, and Kubernetes-based infrastructure, helping bring innovative use cases into reliable production environments. 

You will also explore how AI services can enhance products and engineering workflows. Deep AI expertise is not required; however, you should have a basic understanding of AI concepts and a strong interest in applying managed AI services and APIs responsibly in a regulated environment. 

As a member of the team, you will contribute to architecture decisions and engineering standards, collaborate closely with colleagues, and help scale software engineering capabilities across LGT. The role requires strong hands-on engineering skills, sound technical judgment, and a pragmatic, product-oriented mindset. 

• Design, build, test, and operate production-grade applications end-to-end across backend and frontend. 
• Develop robust APIs, backend services, data integrations, and intuitive web user interfaces. 
• Translate business needs into maintainable technical solutions in close collaboration with stakeholders, designers, and engineering partners. 
• Contribute to solution architecture, technical decisions, and engineering standards across the team. 
• Write high-quality, secure, and well-tested code and apply modern software engineering practices 
• Monitor and troubleshoot production systems and improve their reliability, performance, and observability. 
• Work with other teams to integrate AI workflows into their tools and business processes. 
• Support other teams in designing and exposing APIs for AI-enabled use cases, including through standards such as the Model Context Protocol (MCP). 
• Evaluate new technologies pragmatically, share knowledge, and contribute to reusable platform components and engineering practices. 

• 3+ years of professional software engineering experience with a proven track record of delivering and operating production applications. 
• Experience working in agile, cross-functional teams. 
• Bachelor’s degree or higher in Computer Science or a closely related field, or equivalent practical experience. 
• Strong backend development skills, preferably in Java or Python, and experience designing and building APIs and services (e.g., SpringBoot or FastAPI). 
• Strong frontend development skills with TypeScript or JavaScript and a modern framework (e.g., React, Angular, or Vue). 
• Solid understanding of software engineering principles, including clean code, design patterns, testing, security, and maintainable architecture. 
• Solid DevOps experience with CI/CD pipelines, Git-based workflows, containerization, deployment automation, and infrastructure as code. 
• Hands-on experience with Kubernetes and Docker, including deploying, operating, and troubleshooting containerized applications. 
• Basic understanding of AI and generative AI concepts, plus an interest in integrating AI services and APIs into software products. Deep experience in model development is not required. 
• Strong problem-solving skills and the ability to explain technical concepts clearly to technical and non-technical stakeholders. 
• Fluent English. 

Nice‑to‑Have

• Experience in financial services or another regulated industry. 
• Experience with Argo CD and GitLab CI/CD. 
• Experience with observability and monitoring of production systems. 
• Experience with asynchronous or event-driven systems (e.g., Kafka). 
• Experience with relational and NoSQL databases, data modelling, and performance optimization. 
• Exposure to AI service APIs, LLM-based applications, prompt engineering, or retrieval-augmented generation (RAG). 
• Knowledge of secure software development, identity and access management, and data protection requirements. 
• German language skills.

Please note that we are unable to consider applications for this position submitted via recruitment agencies.