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.
Contact InformationBecome part of a family – not just a company.
For further information please contact our HR Business Partner.
LGT Financial Services AG, Vaduz, Zweigniederlassung Zürich/SchweizHuman Resources
Diane NeffSkills Required
- 3+ years of professional software engineering experience delivering and operating production applications
- Experience working in agile, cross-functional teams
- Bachelor's degree or higher in Computer Science or closely related field, or equivalent practical experience
- Strong backend development skills, preferably in Java or Python
- Experience designing and building APIs and services (e.g., SpringBoot or FastAPI)
- Strong frontend development skills with TypeScript or JavaScript and a modern framework (React, Angular, or Vue)
- Solid understanding of software engineering principles: clean code, design patterns, testing, security, maintainable architecture
- 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 and interest in integrating AI services responsibly
- Strong problem-solving skills and ability to explain technical concepts clearly to technical and non-technical stakeholders
- Fluent English
- 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
What We Do
Forward-looking for generations LGT is an international private bank owned by the Princely Family of Liechtenstein with 23 locations in Europe, Asia, Australia, and the Middle East. Our solid capitalization, long-term thinking, and strategic focus underpin our strong values. These are rooted in 900 years tradition and entrepreneurial thinking. Digitization represents a key pillar of how we continually innovate to find better ways of doing things - today and for the future. Sustainable and social: Sustainability is a pillar of LGT's strategy. Thinking, managing, and investing sustainably are integral parts of our DNA. LGT has committed to reducing the net CO2 emissions from its operations and its investments to zero by 2030. The Princely Family’s view is that wealth itself isn't a purpose, but that it comes with a sense of responsibility. Being wealthy means embracing and acting on that responsibility, as well as passing these values on to the next generation. LGT as an employer: LGT is a vibrant, growing international company and employer. We are certified as a Great Place to Work by the international consulting and research institute of the same name. Whether you have a wealth of experience or are embarking on your first professional steps, LGT careers offer an empowering environment to realize your ambitions. Take your next career step at one of our 23 international locations: www.lgt.com/global-en/career/jobs Publishing information: www.lgt.com/global-en/publishing-information
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