Jobs / ALTEN
Senior AI Platform Engineer (all gender)
ALTEN · Stuttgart, BW, Deutschland
Stuttgart, BW, Deutschland75,000-90,000 EUR/yearlyRemote
Remuneration
75,000-90,000 EUR/yearly
Location
Stuttgart, BW, Deutschland
Visa sponsorship
Not specified
Job summary
The Senior AI Platform Engineer builds and operates a scalable Kubernetes platform with GPU support for AI and machine-learning workloads. The role optimizes cluster scheduling and GPU utilization, implements security and high-availability practices, and manages monitoring, observability, and automated operations using DevOps and infrastructure-as-code methods. It also supports and mentors development teams and collaborates with data scientists and AI/ML engineers.
Benefits
Mobile work by arrangementInternal and external trainingFlexible working hours
Qualifications
- Degree in computer science, mathematics, or a comparable field
- Practical experience operating Kubernetes-based container platforms
- Knowledge of containerization, virtualization, and Kubernetes
- Experience with networking and security concepts in Kubernetes environments
- Practical CI/CD pipeline experience, ideally with GitLab CI, Tekton, or ArgoCD
- Understanding of DevOps principles and infrastructure-as-code methods
- MLOps experience with technologies such as Kubeflow, MLflow, NVIDIA Triton, DeepSpeed, or vLLM is an advantage
- Knowledge of SQL, NoSQL, and vector database administration
- Analytical, structured, and solution-oriented approach
- Strong communication and knowledge-sharing skills
- Fluent German and very good spoken and written English
Responsibilities
- Plan, implement, and operate scalable GPU-enabled Kubernetes clusters for an AI platform
- Optimize cluster resources, scheduling, GPU utilization, and scalability for AI and machine-learning workloads
- Develop and implement platform security concepts and policies
- Manage update, patch, and recovery strategies to maintain high availability
- Implement and operate platform monitoring and observability
- Automate provisioning and operations using DevOps and infrastructure-as-code approaches
- Collaborate with data scientists, AI/ML engineers, and software developers in an agile environment
- Support and mentor development teams in deployment, operations, and effective Kubernetes use
- Continuously improve the AI platform and its operating processes
Skills
Argo CDGitLabGitLab CIKubernetesMakeTektonDockerGrafanaMongoDBMySQLPostgreSQLPrometheusRedisTerraform
Degrees
Degree in computer science, mathematics, or a comparable field
Languages
GermanEnglish
Work schedule
35 hours per weekFlexible working hours
Industry
Industrial and business sectors
Contract length
Permanent contract
Relocation
No