Job
In this role, you will develop a cloud-native platform for data analytics and AI tools, operate Kubernetes-based PaaS/SaaS solutions and optimize their automation and security.
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Job technologies
Your role in the team
- Support and (further) development of a cloud-native platform for data analytics and AI tools for our client Bundeswehr.
- Implementation and ensuring the operability of a PaaS/SaaS based on Kubernetes with a high degree of automation in provisioning and deployment within an agile team.
- Development of automation solutions for monitoring and optimizing the platform.
- Continuous and systematic hardening through testing and implementation of IT security requirements.
- Contributing to the creation of code-related technical documentation.
Our expectations of you
Education
- Completed degree in the IT field or a comparable qualification.
Qualifications
- Very good knowledge of Kubernetes and cloud-native concepts, Helm, and Service Mesh (e.g., Istio).
- Good communication and teamwork skills, analytical thinking, willingness to learn, as well as a careful and conscientious work approach.
- Fluent German language skills and a confident understanding of the English language.
Experience
- Approximately 4 years of professional experience in process and deployment automation based on Infrastructure as Code and GitOps, particularly with Crossplane.
- Ideally, experience in deploying Machine Learning systems (MLOps).
Benefits
Health, fitness & fun
Work-Life-Integration
Higher take-home pay
Topics you will work on
Job locations
About your employer
At the IT Service Center of the Federal Government, we offer comprehensive IT services under one roof. With over 4,000 employees, we are one of the ten largest IT service providers in Germany. We are looking for authentic IT enthusiasts who share our passion and are searching for challenging IT projects to help shape Germany's future.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Internet, IT, Telecommunication
Employer reviews
- Working conditions
- 4.4
- Team culture
- 3.5
- Career growth
- 3.6
- Engineering
- 2.7
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