20 beste Stellen als engineer kubernetes cloud in olching – aktuell auf Personalsuche

AI Infrastructure Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Führungserfahrung
- Flexible Arbeitszeiten
6 Tage
DevOps Engineer
RobCo —München
- Vollzeit
- Hybrides Arbeiten
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Digital Twin and Systems Integration Engineer
GMV —Gilching
- Hybrides Arbeiten
- Umzugskostenzuschuss
Cloud & Infrastructure Engineer
Conxai Technologies GmbH —München
- Vollzeit
Direkt bewerben
Senior Software Quality Engineer - 3D Performance Computing (F/M/D)
NavVis —München
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Direkt bewerben
Platform Engineer (Cloud Infrastructure, AI Platform) (m/f/d)
Allianz —München
- Vollzeit
Deployment Engineer, EMEA
Cellebrite —München
- Vollzeit
Direkt bewerben
Lead AI Systems Engineer (All Genders)
zooplus SE —München
- 84.100 € – 102.800 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Informatik
Direkt bewerben
Software Engineer (f/m/d) - risklab
Allianz —München
- Vollzeit
- Keine Berufserfahrung erforderlich
- Flexible Arbeitszeiten
12 Tage
Staff Engineer (m/f/d)
Peter Park —München
- Vollzeit
- Führungserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Machine Learning & Cloud Infra Engineer
SpAItial —München
- Vollzeit
Senior DevOps Engineer / SRE (m/f/d)
voize —München
- Vollzeit
- Homeoffice
- Flexible Arbeitszeiten
DevOps Engineer (all genders)
Avelios Medical GmbH —München
- Vollzeit
- Informatik
- Flexible Arbeitszeiten
(Staff) Software Engineer – Rental Platform (m/f/d)
SIXT Germany —München
- Vollzeit
- Hybrides Arbeiten
- Flexible Arbeitszeiten
Direkt bewerben
Solutions Engineer
Dynatrace —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Bachelor
- Ohne Hochschulabschluss
- Employee Assistance Program
- Flexible Arbeitszeiten
Senior Software Engineer (Rust/Python) (f/m/d)
Munich Electrification —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Ohne Hochschulabschluss
- Kommunikationsfähigkeit
- Homeoffice-Möglichkeit
Direkt bewerben
Software Engineering Manager (d/f/m)
Entrix —München
- 115.000 € – 135.000 € pro Jahr
- Vollzeit
- Informatik
- Bachelor
- Führungserfahrung
Direkt bewerben
DevOps Engineer (all genders)
Avelios Medical —München
- Vollzeit
- Informatik
- Flexible Arbeitszeiten
Senior Cloud Data Platform Engineer (m/w/d)
Deloitte Consulting GmbH —München
- Teilzeit
- Azure
- Java
- Hochschulreife
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Senior AI Engineer (d/w/m) Cloud Architektur
VKB —München
- Teilzeit
- Azure
- Informatik
- Machine Learning
5 Tage

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engineer kubernetes cloud jobs near olching

AI Infrastructure Engineer (f/m/x)

BMW -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 6 Tagen

Leistungen

Flexible Arbeitszeiten

Qualifikationen

Informatik
Systems Engineering
Führungserfahrung

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 develop and scale Agentic AI systems and Industry Foundation Models that transform engineering, manufacturing, and enterprise processes at the BMW Group. As an internal AI consulting and engineering organization, we work directly with business domains to identify high-impact use cases, build production-ready AI solutions, and establish secure, scalable platforms to train, deploy, and operate them.

What awaits you?

You architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, while optimizing storage and networking for throughput, resilience, and cost efficiency.
Furthermore, you engineer, deploy, and operate production-grade AI systems for fine-tuning, inference, and scalable serving of modern AI and Industry Foundation Models.
In addition, you build and evolve platform capabilities for reliable deployments, Infrastructure as Code, observability, monitoring, and continuous model lifecycle management.
Moreover, you design scalable data pipelines and AI data flywheels that provide high-quality data and enable continuous learning.
Additionally, you design robust AI services and integrate them into enterprise platforms while ensuring security, reliability, and operational excellence.
Finally, you design secure-by-default AI infrastructure and implement identity and access management, infrastructure hardening, secrets management, and security controls for enterprise AI platforms.

What should you bring along?

University degree in Computer Science, Systems Engineering, or a comparable technical discipline.
At least four years of professional experience designing, building, and operating modern cloud, AI, or platform infrastructure in production environments.
Hands-on experience with AWS, Azure, and high-performance GPU clusters, including NVIDIA GPUs, CUDA, NCCL, and InfiniBand.
Strong programming skills in Python with experience in Infrastructure as Code, APIs, CI/CD, automation, and observability.
Practical experience with PyTorch and distributed AI training technologies such as Ray, Slurm, or Kubernetes.
Strong understanding of cloud security, enterprise infrastructure security, identity and access management, networking, and platform hardening.
Commitment to continuous learning, including current developments in AI infrastructure, cloud platforms, platform engineering, cybersecurity, and emerging AI technologies.

Are you ready to build the next generation of industrial AI with secure, scalable, and production-ready platforms? Apply now!

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

What do we offer?

Challenging projects with which we shape 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 six weeks annual leave and overtime compensation.
Discounted BMW & MINI conditions.
Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on

Working hours: full-time

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:

Software Development

Job Id:

194262

Publication Date:

18.08.2026

Jetzt bewerben

Erweiterte Suche

engineer kubernetes cloud Jobs in olching

AI Infrastructure Engineer (f/m/x)

DevOps Engineer

Digital Twin and Systems Integration Engineer

Cloud & Infrastructure Engineer

Senior Software Quality Engineer - 3D Performance Computing (F/M/D)

Platform Engineer (Cloud Infrastructure, AI Platform) (m/f/d)

Deployment Engineer, EMEA

Lead AI Systems Engineer (All Genders)

Software Engineer (f/m/d) - risklab

Staff Engineer (m/f/d)

Machine Learning & Cloud Infra Engineer

Senior DevOps Engineer / SRE (m/f/d)

DevOps Engineer (all genders)

(Staff) Software Engineer – Rental Platform (m/f/d)

Solutions Engineer

Senior Software Engineer (Rust/Python) (f/m/d)

Software Engineering Manager (d/f/m)

DevOps Engineer (all genders)

Senior Cloud Data Platform Engineer (m/w/d)

Senior AI Engineer (d/w/m) Cloud Architektur

Ich möchte aktuelle Job-E-Mails für Stellen als engineer kubernetes cloud in olching erhalten

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