Die KI-Suchmaschine für Jobs
Cloud Engineer(m/w/x)
Beschreibung
As a Cloud Engineer, you will focus on developing and optimizing CI/CD processes, implementing infrastructure across cloud environments, and collaborating with teams to ensure the successful deployment of AI products.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Strong background in DevOps
- •Strong understanding of software engineering best practices
- •Familiarity with DRY and cloud-native design patterns
- •Hands-on experience with cloud infrastructures
- •Experience with CI/CD pipelines
- •Experience with containers
- •Experience with Terraform
- •Experience with CUDA/GPU/TPU applications
- •Proficiency in Python
- •Proficiency in SQL
- •Proficiency in TensorFlow
- •Proficiency in PyTorch
- •Knowledge of JavaScript
- •Knowledge of Go
- •Experience in cloud migrations
- •Strong stakeholder management
- •Excellent documentation and communication skills
- •Team player
- •Passion for AI and continuous learning
- •Fluency in German
- •Fluency in English
Berufserfahrung
2 - 5 Jahre
Aufgaben
- •Develop and optimize CI/CD processes for Machine Learning Systems
- •Create tools for monitoring and analyzing AI solution performance
- •Implement infrastructure in mixed-cloud environments
- •Utilize microservices and containers for deployment
- •Automate scaling of infrastructure with cloud technologies
- •Collaborate with teams to meet MLOps and DevOps requirements
- •Create and maintain test and production environments in the cloud
- •Apply cloud-native design patterns and best practices for secure deployments
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- •Flexible working hours
- •Hybrid work model
Sonstige Zulagen
- •Professional development budget
Mehr Urlaubstage
- •30 days of vacation
Öffi Tickets
- •Cost coverage for Deutschland-Jobticket
- Simon-KucherVollzeitmit HomeofficeBerufserfahrenBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München
- ]init[ AG
Cloud Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - Materna Information & Communications SE
Cloud Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorFrankfurt am Main, Bremen, Berlin, Dortmund, Dresden, Düsseldorf, Erlangen, Hamburg, München, Stuttgart - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - Solactive AG
Senior DevOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin
Cloud Engineer(m/w/x)
Die KI-Suchmaschine für Jobs
Beschreibung
As a Cloud Engineer, you will focus on developing and optimizing CI/CD processes, implementing infrastructure across cloud environments, and collaborating with teams to ensure the successful deployment of AI products.
Lass KI die perfekten Jobs für dich finden!
Lade deinen CV hoch und die Nejo-KI findet passende Stellenangebote für dich.
Anforderungen
- •Strong background in DevOps
- •Strong understanding of software engineering best practices
- •Familiarity with DRY and cloud-native design patterns
- •Hands-on experience with cloud infrastructures
- •Experience with CI/CD pipelines
- •Experience with containers
- •Experience with Terraform
- •Experience with CUDA/GPU/TPU applications
- •Proficiency in Python
- •Proficiency in SQL
- •Proficiency in TensorFlow
- •Proficiency in PyTorch
- •Knowledge of JavaScript
- •Knowledge of Go
- •Experience in cloud migrations
- •Strong stakeholder management
- •Excellent documentation and communication skills
- •Team player
- •Passion for AI and continuous learning
- •Fluency in German
- •Fluency in English
Berufserfahrung
2 - 5 Jahre
Aufgaben
- •Develop and optimize CI/CD processes for Machine Learning Systems
- •Create tools for monitoring and analyzing AI solution performance
- •Implement infrastructure in mixed-cloud environments
- •Utilize microservices and containers for deployment
- •Automate scaling of infrastructure with cloud technologies
- •Collaborate with teams to meet MLOps and DevOps requirements
- •Create and maintain test and production environments in the cloud
- •Apply cloud-native design patterns and best practices for secure deployments
Tools & Technologien
Sprachen
Deutsch – verhandlungssicher
Englisch – verhandlungssicher
Benefits
Flexibles Arbeiten
- •Flexible working hours
- •Hybrid work model
Sonstige Zulagen
- •Professional development budget
Mehr Urlaubstage
- •30 days of vacation
Öffi Tickets
- •Cost coverage for Deutschland-Jobticket
Über das Unternehmen
ZDF Sparks GmbH
Branche
Media
Beschreibung
ZDF Sparks develops AI solutions and algorithms for the media industry, focusing on consulting, design, and implementation of AI services.
- Simon-Kucher
AI Ops / ML Ops Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin, Bonn, Köln, Frankfurt am Main, Hamburg, München - ]init[ AG
Cloud Engineer(m/w/x)
Vollzeit/Teilzeitmit HomeofficeBerufserfahrenBerlin - Materna Information & Communications SE
Cloud Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorFrankfurt am Main, Bremen, Berlin, Dortmund, Dresden, Düsseldorf, Erlangen, Hamburg, München, Stuttgart - Computacenter
MLOPs Engineer - Data & AI Platforms(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenFrankfurt am Main, Stuttgart, Hannover, Hamburg, München, Ludwigshafen am Rhein, Nürnberg, Köln, Berlin, Düsseldorf - Solactive AG
Senior DevOps Engineer(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin