20 beste Stellen als cloud platform engineer (m/w/d) devops in planegg – aktuell auf Personalsuche

Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)
BMW —München
- Vollzeit
- Informatik
- DevOps
- AWS
- Flexible Arbeitszeiten
2 Tage
Senior Software Engineer (Java/SpringBoot) (m/f/x)
Atolls —München
- Hybrides Arbeiten
- Azure
- Informatik
- DevOps
DevOps Engineering Lead (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- DevOps
- Linux
- Flexible Arbeitszeiten
Cloud Solutions Engineer II
Yobitel Communications —München
- Vollzeit
- Azure
- DevOps
- Master
AI Innovation Engineer, Deutsche Borse Delivery Team, Cloud
Google —München
- 124.000 € – 128.000 € pro Jahr
- Vollzeit
- Informatik
- DevOps
- Java
1 Tag
Staff Engineer - Client Technology (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Java
Direkt bewerben
DevOps Engineering Lead (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- DevOps
- Linux
- Flexible Arbeitszeiten
Energy Analytics Engineer (all genders) - BCG Platinion
Boston Consulting Group —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Künstliche Intelligenz
- Reisekostenerstattung
- Kostenloser Parkplatz
Senior Backend Engineer (all genders)
EnopAI GmbH & Co. KG —München
- Vollzeit
- DevOps
- Datenbanken
- AWS
Direkt bewerben
AI & Innovation Senior Engineer
The Exploration Company —München
- Vollzeit
- Azure
- ERP-Systeme
- AWS
- Umzugskostenzuschuss
Lead Solution Engineer (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- APIs
- Erfahrung in der IT
- Flexible Arbeitszeiten
Lead Solution Engineer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- APIs
- Erfahrung in der IT
- Flexible Arbeitszeiten
Working Student CodeCraft Software Development Infrastructure (f/m/x)
BMW —München
- Teilzeit
- Informatik
- DevOps
- Datenanalyse
- Flexible Arbeitszeiten
2 Tage
Cloud Backend Engineer
Signaloid —München
- Vollzeit
- Homeoffice
- Informatik
- DevOps
- Forschungserfahrung
Direkt bewerben
Data Engineer
Amer Sports —Garching bei München
- Informatik
- Azure
- Informatik
14 Tage
Solution Architect (m/f/d)*
Munich Re —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- Oracle
- SQL
Senior Application Security Engineer
Pennylane SAS —München
- Vollzeit
- Homeoffice
- AWS
- Python
Direkt bewerben
Senior Systems Software Engineer
Terra Quantum —München
- C++
- APIs
- Führungserfahrung
Senior Backend Engineer (all genders) - Vehicle Foundation
MOIA GmbH —München
- AWS
- C++
- Linux
- Homeoffice-Möglichkeit
Senior Software Engineer
Nucs AI —München
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Systemdesign
- Bachelor
Direkt bewerben

Ich möchte aktuelle Job-E-Mails für Stellen als cloud platform engineer (m/w/d) devops in planegg erhalten

Wenn Sie sich bei Ihrem Konto anmelden, stimmen Sie den Nutzungsbedingungen, den Richtlinien zur Verwendung von Cookies sowie der Datenschutzerklärung von SimplyHired zu.

Weitere Job-Standorte erkunden

cloud platform engineer (m/w/d) devops jobs near planegg

Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 2 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

CI/CD
Informatik
Kubernetes
DevOps
AWS
Machine Learning
Terraform
Scripting
GitHub
Künstliche Intelligenz
Führungserfahrung
Python

Vollständige Stellenbeschreibung

INNOVATION IS IMAGINING WHAT NO ONE ELSE CAN.

Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good.

We are a cross-functional team driving the development and operation of a scalable MLOps platform for autonomous driving. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle.

What awaits you?

You design, build, and manage Kubernetes clusters on AWS EKS with high security and scalability standards for autonomous driving AI/ML workloads.
Furthermore, you provision and orchestrate large-scale GPU clusters for distributed AI/ML training and experimentation.
Here, you implement and automate CI/CD pipelines for AI/ML workflows optimized for autonomous driving model lifecycle.
Additionally, you develop and maintain infrastructure components such as experiment tracking, model registry, and artifact storage tailored to autonomous driving data.
You monitor and optimize platform reliability, performance, and cost.
Moreover, you implement resource scheduling, quota management, and cost control strategies within the MLOps environment.
You collaborate closely with data scientists, AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle.

What should you bring along?

University degree in Computer Science, Data Science, AI, Mathematics, Physics or comparable qualifications.
At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
Profound expertise in Kubernetes, AWS EKS, and related cloud services.
Comprehensive knowledge of distributed training infrastructure and large-scale GPU cluster orchestration.
Advanced skills in Infrastructure as Code, especially Terraform and Helm.
Strong proficiency in Python development, scripting and automation, with hands-on experience in CI/CD pipelines as well as monitoring and observability tools (e.g. ArgoCD, GitHub Actions, Prometheus, Grafana, OpenSearch/Kibana, CloudWatch).
Very good written and spoken English skills; knowledge of German is an advantage.

Would you like to shape the future of autonomous driving by building scalable MLOps platforms for innovative AI solutions? Apply now!

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

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

What do we offer?

Challenging projects with which we are shaping the mobility of tomorrow together.
Wide range of personal and professional development opportunities.
Attractive, fair and performance-related remuneration.
High level of job security.
Annual special payments such as vacation pay, Christmas bonus, and profit sharing.
Flexible working hours including 6 weeks annual leave and overtime compensation.
Discounted BMW & MINI conditions.
Many other benefits at bmw.jobs/benefits

Start date: from now on

Type of employment: unlimited
Working hours: full time

If you apply, the next stages of the recruiting process include online testing and then an interview with the hiring manager (either virtual or in person).

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

At the 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.

Legal Entity:

BMW AG

Location:

Munich

Job Field:

Autonomous Driving

Job Id:

181741

Publication Date:

17.03.2026

Jetzt bewerben

Erweiterte Suche

cloud platform engineer (m/w/d) devops Jobs in planegg

Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)

Senior Software Engineer (Java/SpringBoot) (m/f/x)

DevOps Engineering Lead (all genders)

Cloud Solutions Engineer II

AI Innovation Engineer, Deutsche Borse Delivery Team, Cloud

Staff Engineer - Client Technology (m/f/x)

DevOps Engineering Lead (all genders)

Energy Analytics Engineer (all genders) - BCG Platinion

Senior Backend Engineer (all genders)

AI & Innovation Senior Engineer

Lead Solution Engineer (all genders)

Lead Solution Engineer (all genders)

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

Cloud Backend Engineer

Data Engineer

Solution Architect (m/f/d)*

Senior Application Security Engineer

Senior Systems Software Engineer

Senior Backend Engineer (all genders) - Vehicle Foundation

Senior Software Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als cloud platform engineer (m/w/d) devops in planegg erhalten

Related Searches

Weitere Job-Standorte erkunden

Tools für Jobsuchende

Arbeitgebertools

Durchsuchen

Bleiben Sie in Kontakt