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SRE / DevOps: IT Infrastructure Transformation

Digital Performance GmbH · Hamburg | Deutschland · Hybrid, Onsite

Gehalt auf Anfrage

Gefunden am 05.06.2026

Match

84%

Fit in Skills, Kultur und Entwicklungspfad.

Beschreibung

Job Zusammenfassung In dieser Position entwickelst du IaC-Lösungen mit Terraform und Ansible, automatisierst Prozesse und transformierst Linux-Systeme in Kubernetes-Umgebungen, während du CI/CD-Pipelines und Monitoring-Lösungen pflegst. Job Zusammenfassung In dieser Position entwickelst du IaC-Lösungen mit Terraform und Ansible, automatisierst Prozesse und transformierst Linux-Systeme in Kubernetes-Umgebungen, während du CI/CD-Pipelines und Monitoring-Lösungen pflegst. Deine Rolle im Team Automation of Operational Processes Development and Implementation of Infrastructure-as-Code (IaC) Solutions (e.g., Terraform, Ansible). Automation of Recurring Tasks such as deployments, scaling, and troubleshooting. Building and Maintaining CI/CD Pipelines for fast and secure software delivery. Transformation of Traditional Linux Systems into Kubernetes Migration of Traditional Linux Servers to Kubernetes environments. Supporting Software Development Teams in utilizing Kubernetes for their workloads. Automation of Network Components in the on-premise data center. Secure Secret Management Development and Implementation of a Secret Management System (e.g., HashiCorp Vault). Integration of Critical IT Infrastructure Components. Providing Simple but Secure Access to credentials for applications and users. Error Management & Self-Healing Systems Implementation of Automated Recovery Mechanisms to minimize system downtime. Development of Proactive Monitoring Solutions for early problem detection. Utilization of Event-Driven Automation (e.g., Lambda functions, webhooks) for autonomous anomaly response. Infrastructure Optimization Automated Scaling of Cloud and On-Premise Systems based on load predictions. Ensuring Compliance with Security Policies through Compliance-as-Code. Resource Optimization via Automated Capacity Planning. Incident Response & Troubleshooting Development of Runbooks and Playbooks for automated incident management. Utilization of AIOps for log and metric analysis to enable early fault detection. Collaboration with Developers and Operations Teams to accelerate issue resolution through automation. Unsere Erwartungen an dich Qualifikationen Language skills: Very good proficiency in German (fluent in spoken and written form) and/or English (fluent in spoken and written form). This role requires on-site presence in our Hamburg office two days a week for team meetings. We support flexible work models while ensuring effective collaboration within the team Strong expertise in Infrastructure as Code (IaC) and Configuration Management (e.g., Terraform, Ansible). Proficiency in CI/CD pipelines and automation tools (e.g., Jenkins, GitHub Actions, GitLab CI, ArgoCD). Knowledge of container technologies & orchestration (e.g., Kubernetes, Docker). Good programming and scripting skills (Python, Bash). Problem-solving mindset and strong teamwork skills. Erfahrung At least 5 years of professional experience in Site Reliability Engineering, DevOps, or Software Development with a focus on Automation & Configuration Management. Experience with monitoring and logging solutions (e.g., Prometheus, Grafana). Experience with cloud platforms (AWS, Azure, Google Cloud). Benefits Gesundheit, Fitness & Fun 🚲 Jobrad 🏋🏿‍♂️ Fitness Angebote 🎳 Team Events Essen & Trinken 🍏 Frisches Obst ☕️ Kaffee, Tee o. Ä Work-Life-Integration 🚌 Gute Anbindung ⏰ Flexible Arbeitszeiten Themen mit denen du dich im Job beschäftigst Cloud Computing Automation AI Industrie 4.0 Metadaten Level: Senior Job Feld: IT, DevOps, Back End Anstellung: Vollzeit Vertragsart: Unbefristetes Dienstverhältnis Arbeitsmodell: Hybrid, Onsite Unternehmenstyp: Digitale Agentur Branche: Medien, Verlagswesen Ort: Hamburg | Deutschland

Tech Stack

AWSAzureDockerKubernetesPython

Warum passt du zu dieser Stelle?

Fit technisch: Stark auf Backend und API-Architektur.

Gaps: Fehlende Tool-Erfahrung in 1-2 Schlüsselbereichen.

Success-Wahrscheinlichkeit: Hoch bei schneller Einarbeitung.