20 beste Stellen als cloud (data) platform engineer in münchen – aktuell auf Personalsuche

DevOps Engineer (f/m/d) Data & Platform Operations
Siemens —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- AWS
7 Tage
Cloud / Platform Engineer (m/w/d)
Steadforce —München
- Teilzeit
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
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Deloitte Consulting GmbH —München
- Teilzeit
- Azure
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- Weiterbildungsprogramme
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DevOps Engineer (w/m/d) Data & Platform Operations
Siemens —München
- Vollzeit
- Hybrides Arbeiten
- DevOps
- Englisch
- AWS
7 Tage
Senior AI & Data Platform Engineer - Ontologies (f/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- Java
- Flexible Arbeitszeiten
1 Std.
Data Platform Engineer (m/w/d) im Raum Münster/Hybrid
Prodig GmbH —München
- Azure
- Informatik
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Data Architect, Deutsche Borse Delivery Team, Google Cloud
Google —München
- 148.000 € – 152.000 € pro Jahr
- Vollzeit
- Datenbanken
- Bachelor
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Outcome Customer Engineer, Google Cloud Platform Delivery (German)
Google —München
- 92.000 € – 94.500 € pro Jahr
- Vollzeit
- Java
- Bachelor
- Ohne Hochschulabschluss
(Senior) Cloud Engineer (m/f/d)
Teleclinic GmbH —München
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Isar Aerospace SE —Ottobrunn
- Azure
- SQL
- Python
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PPRO —München
- Vollzeit
- Hybrides Arbeiten
- SQL
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- Mitgliedschaft im Fitnessstudio
Senior AI Platform Security Engineer (f/m/x)
BMW —München
- Vollzeit
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- Informatik
- Master
- Flexible Arbeitszeiten
1 Std.
Cloud & Infrastructure Engineer
Conxai Technologies GmbH —München
- Vollzeit
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- AWS
- Künstliche Intelligenz
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JUNIOR AI-DRIVEN PLATFORM ENGINEER (M/W/D)
Düsseldorf, Köln —München
- Hybrides Arbeiten
- Informatik
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- Informatik
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Cloud Frontend Engineer
Signaloid —München
- Vollzeit
- Homeoffice
- Informatik
- Forschungserfahrung
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(Senior) Data Engineer (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- AWS
- Finanzdienstleistungen
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Senior Data Analytics Engineer - 100% Remote
Digistore24 —München
- 50.000 € – 65.000 € pro Jahr
- Vollzeit
- Homeoffice
- Azure
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- AWS
- Flexible Arbeitszeiten
Senior Quality Engineer - Data Analytics & AI (f/m/d)
TÜV SÜD —München
- Vollzeit
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Senior Data Analyst / Analytics Engineer (w|m|d)
Exaring AG —München
- Vollzeit
- Hybrides Arbeiten
- SQL
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- Python
Direkt bewerben
10 Tage
(Junior) Architect - Global Data Platform / Data Mesh (all genders)
MEDIAPLUS Gruppe —München
- Vollzeit
- Azure
- Informatik
- Master
- Flexible Arbeitszeiten
Direkt bewerben

Ich möchte aktuelle Job-E-Mails für Stellen als cloud (data) platform engineer in münchen erhalten

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cloud (data) platform engineer jobs near münchen

DevOps Engineer (f/m/d) Data & Platform Operations

Siemens -
München

Jetzt bewerben

Details zur Stelle

Festanstellung | Vollzeit
vor 7 Tagen

Qualifikationen

Informatik
Kubernetes
DevOps
AWS
Bachelor
PostgreSQL
Redis
Kafka
Python
Informationstechnologie

Vollständige Stellenbeschreibung

If you really want to make a difference – make it with us

Siemens Mobility is a separately managed company of Siemens AG and has been a leading supplier in the field of mobility for over 160 years. Our core business includes rail vehicles, rail automation and electrification solutions, turnkey systems and related services. We have always been very innovative in making traveling faster, safer and more comfortable. Today, we need new solutions to new challenges such as climate change and rising populations worldwide. That's what drives us. That's why we shape mobility with passion, always being one step ahead. Through digitalization, we make infrastructures smart and create opportunities that get us from A to B sustainably and seamlessly. Our over 40,000 employees are pioneers in mobility who help to keep the world moving.

What do you contribute?

Railigent X is Siemens Mobility’s open IoT platform leveraging AI and big data to transform rail asset management.

As part of the Ecosystem-Enabler team, you will focus on platform infrastructure, automation and developer enablement. You operate at the intersection of platform engineering and data, enabling teams across the ecosystem to reliably produce and consume data at scale.

Your responsibilities include designing and operating Kubernetes-based platform infrastructure for both stateless and stateful workloads, including databases and streaming systems.
You implement and maintain GitOps workflows using ArgoCD and Kargo for platform and application deployments across multi-cluster environments managed with EKS, Rancher and vCluster.
You support product teams in adopting platform standards and deployment best practices and build self-service capabilities around it.
You contribute to AIOps initiatives, leveraging AI-driven approaches for platform operations and automated remediation.
You collaborate closely with DevOps engineers and development teams to continuously improve the platform ecosystem.
Finally, you contribute to platform observability, monitoring and operational automation.

What do you bring along?

You hold a Bachelor's degree in Computer Science, Information Technology, or a comparable qualification.
You bring several years of experience in Platform Engineering, DevOps, or Cloud Engineering roles with a strong focus on data-intensive systems.
You have proven deep hands-on expertise with Kubernetes, including running stateful workloads (databases, message brokers) in production. Additionally, you are familiar with multi-cluster Kubernetes management using tools such as vCluster, Rancher and delivery frameworks like KRO or KubeVela.
You have hands-on experience with GitOps and deployment tooling, specifically ArgoCD & Helm.
You have experience with Kafka and streaming applications and managing data pipelines. You should have experience in maintaining productive Kafka clusters, preferably on Kubernetes.
You are experienced with cloud platforms (particularly AWS) and Python for automation and tooling. FastAPI knowledge is preferable.
You have worked with PostgreSQL and Dragonfly/Redis in production environments, including operations, tuning, and high-availability configurations.
You bring experience or strong interest in AI/ML Ops and you are familiar with observability tools like Prometheus, Grafana or Dynatrace.
You are fluent in English; German skills are a plus.

What do we offer you?

Inclusion & Diversity

At Siemens Mobility, we are committed to justice and equality. Diversity enriches our team and promotes innovative solutions. We welcome applications from people with disabilities.

Compatibility family and career

With an additional childcare allowance, we help you to concentrate fully on your career without losing sight of the demands of your family life.

Mobile working /Remote working

With us, you will have the opportunity to work hybrid. This means that you can work remotely to a considerable extent. We have officially regulated this through a company agreement.

You can find an overview of our benefits here.

How do you get in touch with us?

www.siemens.de/mobility
if you would like to find out more about Siemens Mobility before applying.
www.siemens.com/global/en/company/jobs/faq.html
if you would like to obtain more information about the application process.
+49 (9131) 17 5243-0
if you would like to clarify further questions about the position via our applicant hotline.
www.siemens.com/mobility-jobs
if you would like more information about jobs and careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

The contact person handling this job ad is Mrs Veronika Windmaier.

Jetzt bewerben

Erweiterte Suche

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Senior Data Analytics Engineer - 100% Remote

Senior Quality Engineer - Data Analytics & AI (f/m/d)

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(Junior) Architect - Global Data Platform / Data Mesh (all genders)

Ich möchte aktuelle Job-E-Mails für Stellen als cloud (data) platform engineer in münchen erhalten

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