09.10.2026 aktualisiert
Premiumkunde
100 % verfügbarSenior Cloud & DevSecOps Engineer
Mundelsheim, Deutschland
Nur Remote
Master of Science in Business Informatics, University of Applied Sciences ReutlingenÜber mich
Cloud & DevSecOps Engineer with 4+ years of experience in designing, implementing, and securing cloud- native platforms in enterprise environments, with a strong focus on Microsoft Azure, Kubernetes, Infrastructure as Code, automation, and IT security.
Skills
GitHub ActionsAzure KubernetesMicrosoft AzureCloud-SicherheitCloud-EngineeringCloud FoundryDevOpsCloud-ServicesVaultWorkflowsAzure AutomationGoogle CloudCloud PlatformAzure Data FactoryCloud Technologies
Microsoft Azure & Cloud Platform Engineering
Expertise in designing, implementing, and continuously improving Microsoft Azure cloud infrastructure for enterprise workloads, including Azure Kubernetes Service (AKS), Azure Container Registry, Azure Managed Grafana, and GitOps with Flux.
Infrastructure as Code (Terraform / IaC)
Expert-level knowledge in implementing and maintaining Infrastructure as Code using Terraform to standardize and automate Azure infrastructure provisioning across enterprise environments.
IAM & Cloud Security
Advanced knowledge in implementing Azure identity and access management concepts, including Microsoft Entra ID, federated identities, managed identities, service principals, custom RBAC roles, Azure Key Vault, and cloud security concepts.
DevSecOps & CI/CD Automation
Expert-level experience in developing and optimizing CI/CD and DevSecOps processes using GitLab and GitHub-based workflows to enable automated, secure software delivery pipelines.
Kubernetes
Advanced skills in designing and implementing Kubernetes-based cloud infrastructure, including cluster architecture, node pools, workload isolation, resource management, namespaces, and workload-specific scheduling.
GitOps / Flux
Expert-level proficiency in GitOps methodologies using Flux for continuous delivery and configuration management of Kubernetes-based platforms.
Python & Programming
Proficiency in Python for data processing, forecasting solutions, data extraction, and classification tasks, complemented by knowledge of SQL, JavaScript/Node.js, HTML, and CSS.
Google Cloud Platform
Experience in implementing cloud-based solutions using Google Cloud Platform within enterprise IT consulting contexts.
Data Engineering & Analytics
Experience in designing data integration and visualization components, developing knowledge graphs, working with NoSQL technologies, and building end-to-end data platforms.
Expertise in designing, implementing, and continuously improving Microsoft Azure cloud infrastructure for enterprise workloads, including Azure Kubernetes Service (AKS), Azure Container Registry, Azure Managed Grafana, and GitOps with Flux.
Infrastructure as Code (Terraform / IaC)
Expert-level knowledge in implementing and maintaining Infrastructure as Code using Terraform to standardize and automate Azure infrastructure provisioning across enterprise environments.
IAM & Cloud Security
Advanced knowledge in implementing Azure identity and access management concepts, including Microsoft Entra ID, federated identities, managed identities, service principals, custom RBAC roles, Azure Key Vault, and cloud security concepts.
DevSecOps & CI/CD Automation
Expert-level experience in developing and optimizing CI/CD and DevSecOps processes using GitLab and GitHub-based workflows to enable automated, secure software delivery pipelines.
Kubernetes
Advanced skills in designing and implementing Kubernetes-based cloud infrastructure, including cluster architecture, node pools, workload isolation, resource management, namespaces, and workload-specific scheduling.
GitOps / Flux
Expert-level proficiency in GitOps methodologies using Flux for continuous delivery and configuration management of Kubernetes-based platforms.
Python & Programming
Proficiency in Python for data processing, forecasting solutions, data extraction, and classification tasks, complemented by knowledge of SQL, JavaScript/Node.js, HTML, and CSS.
Google Cloud Platform
Experience in implementing cloud-based solutions using Google Cloud Platform within enterprise IT consulting contexts.
Data Engineering & Analytics
Experience in designing data integration and visualization components, developing knowledge graphs, working with NoSQL technologies, and building end-to-end data platforms.
Erfahrung
Berufserfahrung0 - 5 Jahre
Freelancer seit2025
Sprachen
DeutschMutterspracheEnglischverhandlungssicher
Projekthistorie
Design and continuous improvement of Microsoft Azure cloud infrastructure for enterprise engineering workloads. Led the redesign and further development of a central Azure Kubernetes Service (AKS) platform using Terraform and GitOps (Flux). Design and implementation of Kubernetes-based cloud infrastructure including cluster architecture, node pools, workload isolation, resource management, namespaces, and workload-specific scheduling. Implementation and maintenance of Infrastructure as Code (IaC) using Terraform. Development and optimization of CI/CD and DevSecOps processes using GitLab and GitHub-based workflows. Implementation and administration of Microsoft Entra ID concepts. Implementation of federated identities, managed identities, service principals, security groups, and custom Azure RBAC roles. Integration of Azure Key Vault for secure management of secrets and credentials. Design and review of cloud security concepts, access models, and IT security processes. Acting as an IT security advisor for Porsche Engineering and Porsche AG.
Designed and implemented authorization, security, and disaster recovery concepts for enterprise IT solutions. Implemented cloud-based solutions using Google Cloud Platform. Analyzed complex enterprise data flows and developed automated data-processing solutions. Worked with sensitive and regulated data in legal and forensic investigation environments. Developed data extraction and classification solutions using Python, regular expressions, clustering, and machine-learning techniques.
Developed a prototype knowledge graph for production-related master data. Designed data integration and visualization components for an end-to-end data platform. Worked with NoSQL technologies and documented software requirements using user stories.