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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating AI/ML platforms using Kubernetes, with a strong focus on scalable GPU infrastructures and MLOps workflows. Proficient in programming with Python and familiar with model-serving frameworks, while also possessing excellent communication skills in both German and English.
Highest-signal resume keywords
Kubernetes Platform EngineeringGPU Infrastructure DesignMLOps Workflow DevelopmentModel-Serving FrameworksTechnical Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Python ProgrammingGolang ProgrammingJava ProgrammingKubernetes ManagementMLOps ToolsInfrastructure-as-CodeCI/CD ToolsPerformance TuningAI GovernanceData Security
Soft Skills
Excellent CommunicationCustomer ConsultingMentoring
Tools & Technologies
NVIDIA TritonMLflowKubeflowClearMLAnsibleTerraformArgo CDFluxVLLMKubernetes Inference Gateway
Industry Keywords
AI/ML PlatformsLarge Language ModelsAI GovernanceDACH RegionEU AI Act
Tech Stack
Tools & technologiesAnsibleCloudFluxJavaKubernetesPythonTerraformGo
About the role
Key responsibilities & impact- Plan, build, and operate highly available AI/ML platforms and services based on Kubernetes across on-premises, hybrid, and cloud environments
- Design and implement scalable GPU infrastructures in Kubernetes clusters, including GPU scheduling and sharing
- Build and operate model-serving and inference services for traditional ML models and Large Language Models
- Develop and operate MLOps/LLMOps workflows for production-grade GenAI services
- Implement guardrails, policies, evaluations, regression testing, and cost and quality monitoring
- Provide fine-tuning and re-training workflows
- Monitor, troubleshoot, and performance-tune AI platforms
- Advise customers on best practices, AI governance, data security, and data privacy
- Collaborate with data science, data platform, and development teams to integrate AI solutions
- In the Senior role: take ownership of architecture, make key technology decisions, provide technical leadership in customer projects, and mentor colleagues
Requirements
What you’ll need- At least 3 years of experience operating and optimizing platforms and services at scale in Kubernetes environments
- Strong knowledge of the architecture and operation of scalable solutions using Kubernetes, ideally including GPU workloads
- Programming skills in Python, ideally complemented by Golang or Java
- Experience with at least one model-serving framework, such as vLLM, NVIDIA Triton, or KServe
- Initial or advanced experience with MLOps tools, such as MLflow, Kubeflow, or ClearML
- Experience with Infrastructure-as-Code tools such as Ansible and Terraform
- Experience with CI/CD and GitOps tools, such as Argo CD or Flux
- Excellent communication skills in German and English
- Ideally, experience in customer consulting and communicating technical topics to different target audiences
- For the Senior role: at least 5 years of relevant experience in platform engineering
- For the Senior role: responsibility for the end-to-end design of AI platforms and key technology decisions
- For the Senior role: technical leadership in customer projects and mentoring colleagues
- Ideally, experience with cloud AI services and their integration with Kubernetes workloads
- Knowledge of operating LLM-based architectures, RAG pipelines, vector databases, embedding services, agentic AI approaches, and MCP
- Understanding of system-level fundamentals of LLM serving and LLM concepts such as reasoning, tool calling, and prompt templates
- Experience with llm-d or the Kubernetes Inference Gateway
- Knowledge of TLS, RBAC, and network policies within Kubernetes environments
- Basic understanding of AI governance, such as the EU AI Act
- Willingness to travel occasionally within the DACH region
Benefits
Comp & perks- Company pension scheme
- Collaborative company culture with regular team events
- Targeted support for your professional development
- Corporate Benefits program
- Flexible working hours
- Modern workplace with up-to-date equipment
- Remote work opportunities