Kubernetes Cloud Platform Engineer (m/f/x)

TN Germany; Karlsruhe; Remote; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading company in Karlsruhe seeks a skilled platform engineer to develop and scale advanced container orchestration systems while supporting machine learning initiatives. The role emphasizes collaboration with cross-functional teams and community engagement in AI/ML. Flexible work arrangements and a focus on personal development are key benefits.

Leistungen

Mobile Work

Flexible working hours

Personal development opportunities

Health & Fitness

Corporate Benefits

Qualifikationen

• Deep knowledge of platform technologies and cloud-native strategies.
• Experience in developing open source software.

Aufgaben

• Develop and scale container orchestration platforms.
• Support ML teams by optimizing resources for AI/ML workloads.

Kenntnisse

Problem Solving

Communication

Adaptability

Tools

AWS

Google Cloud

Azure

Jobbeschreibung

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Job Reference:

71b13b681ab7

Job Views:

1

Posted:

13.05.2025

Expiry Date:

27.06.2025

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Job Description:

Your tasks:

1. Develop, operate, and scale container orchestration platforms, ensuring efficiency across various global platforms.

2. Support machine learning teams by optimizing and deploying resources tailored to AI/ML workloads.

3. Drive the development and implementation of the platform strategy, collaborating closely with customers.

4. Work with a cross-functional team of developers, engineers, and data scientists to ensure smooth workflows and knowledge transfer.

5. Design and implement self-service tools and APIs for resource management tailored to ML workflows.

6. Contribute to community-driven projects and maintain a strong presence in the broader AI/ML community.

7. Promote communication with stakeholders for seamless and transparent information exchange.

8. Maintain and reinforce security, efficiency, and compliance standards of infrastructure.

Your profile:

1. Deep knowledge of platform technologies, cloud-native strategies, and ML infrastructure requirements.

2. Experience in developing open source software and contributions.

3. Understanding of cloud architectures, including ML-centric environments.

4. Strong problem-solving skills, adaptability, and success in evolving environments.

5. Excellent communication skills with a collaborative approach.

6. Familiarity with major cloud services (AWS, Google Cloud, Azure) and their ML offerings.

Benefits:

• Mobile Work: Emphasizes remote work flexibility, with personalized solutions after consultation.
• Flexible working hours: Includes 30 vacation days, flexible hours, and options to convert hours into free time.
• Personal development opportunities: Internal and external training, online courses via Udemy Business.
• Our culture: Focus on trust, respect, flat hierarchies, openness, and teamwork.
• Leadership Career: Support for talent development and leadership potential, including roles as Lead Expert.
• Health & Fitness: Discounted sports offers and psychological counseling.
• Corporate Benefits: Pension plans and various corporate offers.
• A Great Place to Work: Multiple awards indicating a positive work environment.