Remuneration
Not specified
Location
Deutschland
Visa sponsorship
Not specified
Job summary
Design, build, and operate the cloud platform and infrastructure for enterprise-grade AI solutions.
Qualifications
- Strong background in Platform Engineering, DevOps, or Cloud Engineering.
- Experience with production-grade cloud-native applications.
- Hands-on expertise with Kubernetes and Docker.
- Experience with CI/CD and automation frameworks.
- Knowledge of observability platforms like Langfuse and Grafana.
- Experience with cloud security and identity management.
- Familiarity with Python and software development practices.
- Understanding of AI platforms and LLM applications is beneficial.
- Strong troubleshooting and operational mindset.
Responsibilities
- Design, build, and operate infrastructure and platform capabilities for AI solutions.
- Develop and maintain containerized applications using Docker and Kubernetes.
- Drive production readiness across security, scalability, reliability, and observability.
- Design and implement multi-tenant architectures with isolation and governance.
- Establish monitoring, logging, tracing, and operational dashboards.
- Build and maintain CI/CD pipelines and Infrastructure-as-Code.
- Define and implement security controls and secure deployment practices.
- Collaborate with AI Engineers and Software Developers for production transitions.
- Contribute to application development focusing on platform capabilities and tooling.
- Support architecture decisions for cloud infrastructure and security.
- Drive platform standardization and operational best practices.
Skills
AzureAzure MonitorDockerGrafanaKubernetesOpenTelemetryPrometheusPython
Relocation
No