Job
In this role, you will develop Generative AI solutions in Google Cloud, plan and implement cloud platforms, and work closely with internal departments and data experts on innovative projects based on LLMs.
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Job technologies
Your role in the team
- SIGNAL IDUNA plans to further expand its cloud platform and infrastructure and is looking for experienced and highly motivated IT specialists in cloud engineering and architecture, with a focus on Google Cloud.
- In particular, we work on generative AI solutions in Google Cloud and collaborate closely with internal departments, Data Science teams, and Google experts to stay at the forefront of technology.
- As a Cloud Platform Engineer (m/f/d), you will support these cloud developments and share responsibility for technology planning, platform implementation, and supporting the deployment of Generative AI solutions.
- Supporting an interdisciplinary team (squad) in developing new solutions based on Large Language Models (LLMs) using the following technologies: Google Cloud, Vertex AI, LangChain, Gemini, Python-based microservices, Cloud Run, Cloud Build, Terraform.
- Establishment of standardized processes and methods (best practices), as well as a sustainable enterprise architecture in the field of generative AI, and participation in the development and implementation of cloud security concepts.
- Contribute to the development of architecture guidelines and support projects using modern architecture standards in a public cloud environment.
- Consideration of data protection, legal, and ethical aspects in connection with the application of ML models to personal data.
- Close collaboration with technical product owners to encourage them to migrate their applications by providing in-depth knowledge of the benefits of the cloud.
- Establishing standardized processes and mechanisms, as well as advising on the implementation and launch of products and services in Google Cloud.
- Use of modern methods for automation, deployment (CI/CD), and the further development of complex infrastructures and services in the public cloud.
Our expectations of you
Education
- You have completed a degree in IT or have an equivalent qualification with IT expertise.
Qualifications
- You are familiar with using Python as a programming language.
- Ideally, you have knowledge of industry standards, security concepts, policies, and regulatory compliance requirements in the insurance and financial sectors.
- You are a team player with excellent communication skills (fluent in German and good command of English).
Experience
- You have experience with public cloud platforms (AWS, Azure, preferably GCP) and Terraform (IaC).
- You have initial experience in developing, deploying, and integrating Generative AI applications in an enterprise environment by building suitable infrastructure components using Terraform (CI/CD pipeline).
- You have some initial hands-on experience with agile methods and agile project management.
What we offer
- You’ll find modern rooms and spaces that support your creative work.
- With a flexible working hours model, you can balance your personal life and work effectively.
- Lifelong learning is a priority, and professional development is part of everyday life.
- We enjoy sharing and passing on our knowledge to one another.
- You can develop your personality and skills through professional coaching and training.
- The workplace health management program supports your health.
Benefits
Health, fitness & fun
Work-Life-Integration
Higher take-home pay
Food & drink
Topics you will work on
Job locations
About your employer
SIGNAL IDUNA is one of the most successful service providers in Germany. We offer our private and corporate customers in the field of insurance and finance everything they need. Accordingly, our professional opportunities are also very diverse. With passion and determination, we work behind the scenes every day on our products and advise our customers directly on site.
- 1907
- Established Company
- Onsite, Hybrid
- Banking, Finance, Insurance
Employer reviews
- Career growth
- 3.1
- Engineering
- 2.4
- Working conditions
- 3.8
- Team culture
- 3.0
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