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

Staff Software Engineer, Infrastructure (Cloud)
AeroVect —Frankfurt am Main
- Vollzeit
- Homeoffice
- Informatik
- Master
- Bachelor
Staff Engineer for IT Automation & AI transformation (Remote)
SoSafe —Frankfurt am Main
- Vollzeit
- Homeoffice
- Führungserfahrung
- Flexible Arbeitszeiten
- Empfehlungsprogramm
DevOps Engineer – Plattform-Automatisierung & KI-Workflows (m/w/d)
füreinanderdasein GmbH —Frankfurt am Main
- Vollzeit
- Informatik
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
System Engineer (all genders) mit Schwerpunkt Azure Virtual Desktop (AVD)
DATAGROUP SE —Neu-Isenburg
- Homeoffice
- Azure
- Weiterbildungsprogramme
DevOps Engineer – Plattform-Automatisierung & KI-Workflows (m/w/d)
Universitätsmedizin Frankfurt —Frankfurt am Main
- 4.222 € – 6.140 € pro Monat
- Vollzeit
- Informatik
- Master
- Bachelor
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Direkt bewerben
Senior DevOps Engineer / SRE (m/f/d)
voize —Frankfurt am Main
- Vollzeit
- Homeoffice
- Flexible Arbeitszeiten
Information Systems Engineer
Fortinet —Frankfurt am Main
- Vollzeit
- Informatik
- Bachelor
- Kommunikationsfähigkeit
System Engineer (all genders) mit Schwerpunkt Azure Virtual Desktop (AVD)
DATAGROUP Operations GmbH —Neu-Isenburg
- Vollzeit
- Homeoffice
- Azure
Direkt bewerben
Platform Engineer
DL Remote —Frankfurt am Main
- Bis zu 95.000 € pro Jahr
- Homeoffice
- Informatik
- DevOps
- Englisch
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
10 Tage
(Senior) IT Platform & Infrastructure Engineer (m/w/d)
Institutional Investment Group GmbH —Frankfurt am Main
- Ab 60.000 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Softwareentwicklung
- Gleitzeit
- Flexible Arbeitszeiten
Direkt bewerben
11 Tage
AI Infrastructure Engineer
AXIANS EI —Darmstadt
- Hybrides Arbeiten
- Master
Direkt bewerben
AI Engineer / AI Platform Engineer (w/m/d)
MTG AG —Darmstadt
- Vollzeit
- Informatik
- Englisch
- Master
- Aufstiegsmöglichkeiten
- Flexible Arbeitszeiten
11 Tage
Network Engineer (m/w/d)
VR-Payment GmbH —Frankfurt am Main
- Vollzeit
- Azure
- Englisch
- Agile
- Gleitzeit
- Weiterbildungsprogramme
Direkt bewerben
Staff Engineer (IT Automation & AI-native Transformation)
SoSafe —Frankfurt am Main
- Vollzeit
- Führungserfahrung
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Senior M365 Engineer (w/m/d)
Technische Universität Darmstadt —Darmstadt
- Vollzeit
- Informatik
- SharePoint
- Weiterbildungsprogramme
Expert DevOps Engineer (w/m/d), Schwerpunkt Anwendungsbetrieb
Technische Universität Darmstadt —Darmstadt
- Vollzeit
- Scripting
- Softwareentwicklung
- Weiterbildungsprogramme
DevOps Engineer / Linux Administrator (w/m/d)
MTG AG —Darmstadt
- Vollzeit
- Wartung
- Englisch
- Scripting
- Aufstiegsmöglichkeiten
- Flexible Arbeitszeiten
Cloud Engineer Softwareentwicklung (m/w/d)
Deloitte GmbH —Frankfurt am Main
- Online-Bewerbung
- Java
- Hochschulreife
- Mit Reiseanteil
- Weiterbildungsprogramme
- Aufstiegsmöglichkeiten
Senior Site Reliability Engineer (w/m/d)
ioki GmbH —Frankfurt am Main
- 85.000 € – 110.000 € pro Jahr
- Vollzeit
Direkt bewerben
5 Tage
DevOps Engineer / Kubernetes Plattform Engineer (w/m/d)
INNOVATION HUB 110 —Rhein-Main-Gebiet
- Teilzeit
- Hybrides Arbeiten
- Informatik
- DevOps
- Master
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
2 Tage

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Staff Software Engineer, Infrastructure (Cloud)

AeroVect
Frankfurt am Main

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 dietzenbach

Staff Software Engineer, Infrastructure (Cloud)

Staff Engineer for IT Automation & AI transformation (Remote)

DevOps Engineer – Plattform-Automatisierung & KI-Workflows (m/w/d)

System Engineer (all genders) mit Schwerpunkt Azure Virtual Desktop (AVD)

DevOps Engineer – Plattform-Automatisierung & KI-Workflows (m/w/d)

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

Information Systems Engineer

System Engineer (all genders) mit Schwerpunkt Azure Virtual Desktop (AVD)

Platform Engineer

(Senior) IT Platform & Infrastructure Engineer (m/w/d)

AI Infrastructure Engineer

AI Engineer / AI Platform Engineer (w/m/d)

Network Engineer (m/w/d)

Staff Engineer (IT Automation & AI-native Transformation)

Senior M365 Engineer (w/m/d)

Expert DevOps Engineer (w/m/d), Schwerpunkt Anwendungsbetrieb

DevOps Engineer / Linux Administrator (w/m/d)

Cloud Engineer Softwareentwicklung (m/w/d)

Senior Site Reliability Engineer (w/m/d)

DevOps Engineer / Kubernetes Plattform Engineer (w/m/d)

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

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