Kubernetes Cloud Platform Engineer (m/w/d)

Key Skills

Aartificial intelligence, Analytical and Problem solving, AWS, Azure, Effective communication skills, Google Cloud Platform (GCP), Kubernetes-K8s, Machine learning techniques

Job Description

Tasks

• You will work on developing, operating and scaling a container orchestration and ensuring its efficiency on various platforms worldwide.
• You will directly support our machine learning teams by optimizing and deploying resources tailored to AI/ML workloads.
• You drive the development and implementation of our overarching platform strategy while ensuring close collaboration with our customers.
• You work with a cross-functional team of developers, engineers and data scientists to ensure smooth workflows and knowledge transfer.
• You will design and implement self-service resource management tools and APIs specifically tailored to ML workflows as needed.
• You will actively contribute to community-driven projects and maintain a strong presence in the broader technology and AI/ML community.
• You promote communication with stakeholders and ensure a seamless and transparent exchange of information.
• You will work to maintain and strengthen the security, efficiency and compliance standards of our infrastructure.

Qualifications

• You have in-depth knowledge of platform technologies, cloud native strategies and an understanding of ML-related infrastructure requirements.
• You have experience developing open source software and contributions.
• You have a comprehensive understanding of cloud architectures and infrastructures, including ML-centric environments.
• You have strong problem-solving skills, adaptability and the ability to thrive in constantly evolving environments.
• You are very communicative supported by a collaborative approach.
• You are familiar with major cloud services (AWS, Google Cloud, Azure, etc.) and have an appreciation for their ML offerings.