Deloitte GmbH Wirtschaftsprüfungsgesellschaft
Senior Cloud (Data) Platform Engineer(m/w/x)
Vollzeit
mit Homeoffice
Senior
Keine Angabe
Berlin, Düsseldorf, Frankfurt am Main, Hamburg, Hannover, Köln, Mün...
ON
ONIQ13 Tage
Senior Cloud & Data Platform Engineer(m/w/x)
Vollzeit/Teilzeit
mit Homeoffice
Senior
Green Job
AI/ML Job
Keine Angabe
Köln, Berlin
Nejo KI-Zusammenfassung
In this hands-on role, you will scale multi-cloud infrastructure and design a robust data platform strategy, directly impacting cloud architecture and data engineering for Fortune 500 enterprises. Your expertise will guide technical direction as you build and optimize key systems.
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Anforderungen
- •6+ years in software engineering, cloud infrastructure, or backend/data engineering roles
- •At least 2 years in a senior technical capacity
- •Deep, hands-on expertise with Kubernetes and major cloud providers (GCP, Azure, AWS)
- •Expertise with IaC frameworks (Terraform, OpenTofu, Pulumi)
- •Strong Python skills with modern data processing libraries
- •Experience with TypeScript/React or Rust (not a requirement)
- •Proven experience designing and operating data pipelines and storage solutions
- •Experience with orchestration platforms (Dagster, Prefect, Airflow)
- •Strong sense of ownership
- •Genuine interest in industrial manufacturing and B2B SaaS
- •Entrepreneurial mindset
- •Excellent organisational and communication skills
- •Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Master-Abschluss
Berufserfahrung
6 Jahre
Deine Aufgaben
- •Scale multi-cloud infrastructure
- •Design data platform strategy
- •Define and execute multi-cloud infrastructure roadmap
- •Make technology selection and architecture decisions
- •Implement cost optimization strategies
- •Design technical strategy for Kubernetes-based deployment
- •Develop IaC approach across GCP, Azure, AWS, and on-premise
- •Build, deploy, and monitor container-based services
- •Interface with enterprise customers' technical teams
- •Align on deployment and infrastructure requirements
- •Architect core data processing framework for customer onboarding
- •Enable AI products through data processing framework
- •Design and implement high-performance data pipelines
- •Process millions of manufacturing events
- •Optimize for real-time and analytical workloads
- •Define data storage strategy including object storage and OLTP/OLAP
- •Establish pipeline orchestration approach
- •Develop and optimize APIs and data processing systems using Python
- •Translate business requirements into infrastructure capabilities
- •Research and evaluate emerging technologies
- •Make recommendations for adopting new tools
Tools & Technologien
KubernetesGCPAzureAWSTerraformOpenTofuPulumiPythonPolarsFastAPITypeScriptReactRustDagsterPrefectAirflow
Sprachen
Englisch – verhandlungssicher
Deine Vorteile
Flexibles Arbeiten
- •Flexible hours
- •Part-time options
- •Remote work possibilities
Team Events & Ausflüge
- •Regular team events
Mehr Urlaubstage
- •30 days PTO
Gesundheits- & Fitnessangebote
- •Weekly yoga sessions
- •Urban Sports Club
Öffi Tickets
- •Deutschlandticket
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