18 beste Stellen als and devops engineer (m/w/d) in gräfelfing, by – aktuell auf Personalsuche

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CIB SOFTWARE GMBH —München
- Englisch
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Byte - Bayerische Agentur für Digitales GmbH —München
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BMW —München
- Teilzeit
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Swiss Life —Garching bei München
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WISAG Industrietechnischer Service GmbH & Co. KG —Gilching
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PAYBACK GmbH —München
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MCA GROUPE —München
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OMMAX GmbH —München
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Expleo Group —München
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DL Remote —München
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Truma Gerätetechnik GmbH & Co. KG —Putzbrunn
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Senior AI & Data Platform Engineer (f/m/x)
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You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments. Experience in building and operating enterprise-wide…
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Abgeschlossenes Studium in Informatik, Wirtschaftsinformatik oder vergleichbarer Fachrichtung Berufseinsteiger willkommen, erste Cloud-Erfahrung von Vorteil.

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and devops engineer (m/w/d) jobs near gräfelfing, by

Senior AI & Data Platform Engineer (f/m/x)

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Leistungen

Flexible Arbeitszeiten

Qualifikationen

TensorFlow
CI/CD
Azure
Go
Cloud-Architektur
Informatik
Kubernetes
Java
AWS
Docker
Terraform
GitHub
APIs
Künstliche Intelligenz
Wirtschaft
Python

Vollständige Stellenbeschreibung

NEW SOLUTIONS EMERGE WHEN THINKING ISN’T HARD-WIRED.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly new solutions. Naturally, this includes flexible working models, so that our IT specialists are free to go in unconventional directions.

We drive the Data & AI transformation of the BMW Group with innovative platforms, state-of-the-art cloud architecture, and excellent engineering. Together, we create the technical foundation for scalable, secure, and efficient AI solutions across the entire company.

What awaits you?

You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions.
You automate infrastructure, deployments, and workflows using modern DevOps and MLOps approaches (e.g., Terraform, GitHub Actions, SonarQube).
Furthermore, you work closely with data scientists, software engineers, and architects to design and implement APIs, services, and platform functionalities.
You also ensure the quality, stability, and security of the platform – including monitoring, observability, logging, compliance, and documentation.
Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.
Last but not least, you evaluate new technological trends (e.g., Generative AI, LLMs, RAG, LangChain) and actively contribute your expertise to the further development of our AI landscape.

What should you bring along?

University degree in (business) computer science, mathematics, or a comparable qualification with a strong IT focus.
At least 5 years of experience in software or platform engineering, ideally in a cloud environment (AWS or Azure).
Solid knowledge of CI/CD, automation, and infrastructure as code, ideally with Terraform, Docker, Kubernetes, or similar tools.
Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience.
Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies.
Deep understanding of IT security, data protection, and compliance requirements.
Very good English skills; German skills are an advantage.

Would you like to help drive the Data & AI transformation at BMW Group? Apply now!

Find out more about Artificial Intelligence at the BMW Group here.

Note: Please apply exclusively online via our career portal. Applications through other channels (especially e-mail) cannot be considered.

What do we offer?

Challenging projects with which we jointly shape the mobility of tomorrow.
Diverse personal and professional development opportunities.
Attractive, fair, and performance-based compensation.
High job security.
Annual special payments such as holiday pay, Christmas bonus, and profit sharing.
Flexible working hours including six weeks of annual leave and overtime compensation.
Discounted BMW & MINI conditions.
Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on
Type of employment: unlimited
Working hours: full-time

When you apply, the next steps in the selection process include an online test followed by interviews with the hiring manager (either virtually or in person).

You can find helpful tips on your application and the application process.

At BMW Group, we place great importance on equal treatment and equal opportunities. Our recruiting decisions are based on the personality, experience, and skills of the applicants. More information here.

Legal Entity:

BMW AG

Location:

Munich

Job Field:

Software Development

Job Id:

173222

Publication Date:

21.11.2025

Jetzt bewerben

Erweiterte Suche

and devops engineer (m/w/d) Jobs in gräfelfing, by

Senior AI & Data Platform Engineer (f/m/x)

Senior Container Administrator (m/f/d)

Cloud Engineer (w/m/d)

Azure Cloud Engineer (m/w/d) für Conigma™ Connect

Site Reliability Engineer (m/w/d)

Senior AI & Data Platform Engineer - Ontologies (f/m/x)

Platform Engineer (DevOps Engineer / Cloud Engineer / Site Reliability Engineer) (m/w/d)

Senior DevOps Engineer (m/w/d) aka "Senior Sky Mechanic"

Working Student CodeCraft Software Development Infrastructure (f/m/x)

(Senior) AI Engineer – Generative KI & AWS (m/w/d)

DevOps & System Service Engineer (m/w/d) Vollzeit | Region München

Site Reliability Engineer (M/W/D)

Cloud Engineer / Administrator (m/w/d)

(Senior) MLOps Engineer (m/w/d)

Titel Principal DevOps Engineer (all genders)

Senior Cloud Platform Engineer

Senior Fullstack Software Engineer IoT (m/w/d)

Cloud Engineer (w|m|d) - Dein Stack: Beratung, Plattformdenken, Automatisierung

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