20 beste Stellen als cloud engineer in haar – aktuell auf Personalsuche

Staff Software Engineer, Infrastructure (Cloud)
AeroVect —München
- Vollzeit
- Homeoffice
- Informatik
- Master
- Bachelor
AI Infrastructure Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Führungserfahrung
- Flexible Arbeitszeiten
12 Tage
CYBER DEFENCE ENGINEER (D/F/M)
Airbus Protect GmbH —München
- Vollzeit
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BNP Paribas —München
- Online-Bewerbung
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RobCo —München
- Vollzeit
- Hybrides Arbeiten
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Direkt bewerben
Junior SecOps Engineer (m/f/d)
The Mobility House —München
- Vollzeit
- Informatik
- Bachelor
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- Flexible Arbeitszeiten
Direkt bewerben
Staff Engineer for IT Automation & AI transformation (Remote)
SoSafe —München
- Vollzeit
- Homeoffice
- Führungserfahrung
- Flexible Arbeitszeiten
- Empfehlungsprogramm
AI Platform Engineer (f/m/d)
Munich Electrification —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Bachelor
- Homeoffice-Möglichkeit
Direkt bewerben
Site Reliability Engineer / SRE (all genders)
Lio —München
- Vollzeit
- Management-Erfahrung
Senior Integration & Platform Engineer (m/w/d) – Azure, APIs, Integration
Bürklin GmbH & Co. KG —Oberhaching
- Vollzeit
- Azure
- ERP-Systeme
- Präsentationserfahrung
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Senior Fullstack Software Engineer IoT (m/w/d)
Truma Gerätetechnik GmbH & Co. KG —Putzbrunn
- Vollzeit
- Azure
- Informatik
- Datenbanken
- Flexible Arbeitszeiten
Cloud & Infrastructure Engineer
Conxai Technologies GmbH —München
- Vollzeit
Direkt bewerben
Platform Engineer (DevOps Engineer / Cloud Engineer / Site Reliability Engineer) (m/w/d)
CIB SOFTWARE GMBH —München
- AWS
- Kontinuierlicher Verbesserungsprozess
- Softwareentwicklung
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Principal DevOps Engineer (all genders)
Expleo —München
- Azure
- Informatik
- DevOps
- Gleitzeit
- Homeoffice-Möglichkeit
(Junior) Cloud Site Reliability Engineer (Network) (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
Direkt bewerben
Senior M365 System Engineer M365
Gesellschaft für angewandte Informationstechnologien mbH —München
- Vollzeit
- Hybrides Arbeiten
- Azure
- SharePoint
- Gleitzeit
- Flexible Arbeitszeiten
AI Platform Engineer (m/f/x)
Scalable GmbH —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
Azure Cloud Engineer (m/w/d) für Conigma™ Connect
Galileo Group AG —München
- Hybrides Arbeiten
- Azure
- Informatik
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Senior webMethods Integration Engineer (w/m/d) in Teil- oder Vollzeit
CROZ DACH GmbH —München
- 70.000 € – 90.000 € pro Jahr
- Teilzeit
- Persönlich
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- Java
Direkt bewerben
Titel Principal DevOps Engineer (all genders)
Expleo Group —München
- Azure
- Informatik
- DevOps
- Gleitzeit
- Homeoffice-Möglichkeit

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Staff Software Engineer, Infrastructure (Cloud)

AeroVect
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

Informatik
Master
Bachelor
Verteilte Systeme
GitHub
Elektrotechnik
gRPC

Vollständige Stellenbeschreibung

Who We Are

AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. We are a Series A company backed by top-tier venture capital investors in aviation and autonomous driving. Our customers include some of the world’s largest airlines and ground handling providers. For more information, visit www.aerovect.com.

As a Staff Software Engineer, Infrastructure (Cloud), you will own the data infrastructure and cloud systems that power AeroVect's autonomous driving platform. You'll design and scale the pipelines that move operational data from real-world deployments into the systems that drive development, testing, and continuous improvement — ensuring reliability and performance

This is a highly impactful role at the intersection of cloud infrastructure and data engineering. You'll have real ownership — designing systems from the ground up, not inheriting a finished stack. The opportunity to grow into a technical leadership role is real as the team scales.

You Will

Design, build, and maintain scalable data pipelines that move operational data from on-prem systems into cloud infrastructure
Architect and manage cloud-based infrastructure (AWS) for scalable computation, data processing, and system telemetry
Integrate on-prem and cloud data flows into a cohesive, reliable data architecture
Build and maintain CI/CD pipelines to enable rapid, reliable software delivery and validation across simulation and real-world testing environments
Implement and manage infrastructure-as-code (Terraform, CloudFormation) for consistent, automated provisioning
Develop internal services and automation tools to streamline data ingestion, processing, and observability
Establish and enforce best practices for data reliability, pipeline observability, and system security
Drive root-cause analysis for data infrastructure and pipeline issues; design long-term solutions to improve system resilience
Collaborate with autonomy and systems engineers to define scalable data interfaces and cloud deployment strategies

You Have

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
7+ years of experience building cloud infrastructure and data systems for large-scale distributed systems
Strong proficiency in Python with a focus on data pipeline development and automation
Hands-on experience with Kafka, Kubernetes, and gRPC for building scalable, high-throughput data systems
Deep expertise with AWS cloud services including compute, storage, and data processing
Experience with CI/CD platforms (Jenkins, GitHub Actions, CircleCI)
Proficiency with containerization and orchestration (Docker, Kubernetes)
Experience automating deployments with Terraform or CloudFormation
Familiarity with Git-based workflows, code review processes, and collaborative software development

We Prefer

Experience integrating on-prem and cloud data flows in a hybrid infrastructure environment
Background in data engineering for robotics, autonomous systems, or real-time operational data
Knowledge of monitoring, logging, and alerting tools such as Prometheus, Grafana, or the ELK Stack
Familiarity with networking, security, and distributed system performance optimization
Experience supporting safety-critical, real-time, or high-availability systems

Jetzt bewerben

Erweiterte Suche

cloud engineer Jobs in haar

Staff Software Engineer, Infrastructure (Cloud)

AI Infrastructure Engineer (f/m/x)

CYBER DEFENCE ENGINEER (D/F/M)

DevOps System Integration Engineer (all genders)

DevOps Engineer

Junior SecOps Engineer (m/f/d)

Staff Engineer for IT Automation & AI transformation (Remote)

AI Platform Engineer (f/m/d)

Site Reliability Engineer / SRE (all genders)

Senior Integration & Platform Engineer (m/w/d) – Azure, APIs, Integration

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

Cloud & Infrastructure Engineer

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

Principal DevOps Engineer (all genders)

(Junior) Cloud Site Reliability Engineer (Network) (m/f/x)

Senior M365 System Engineer M365

AI Platform Engineer (m/f/x)

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

Senior webMethods Integration Engineer (w/m/d) in Teil- oder Vollzeit

Titel Principal DevOps Engineer (all genders)

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

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