Senior devops engineer devops csapatvezető állások Németországban angol nyelvtudással

• Kubernetes Management
• Deploy, configure, and maintain Kubernetes clusters in an air-gapped environment.
• Work with k8s/k3s to ensure efficient resource utilization and high availability
• Linux Administration
• Maintain Linux servers, including performance tuning, backups, and user management.

As a lead DevOps engineer, you will work side by side with your coworkers in an agile team in an environment which will allow you create the ideal conditions for your future career....

• Oversee and maintain Linux environments across global data centers, ensuring performance, security, and reliability.
• Design, implement, and manage Kubernetes clusters to support scalable and resilient services.

• Design our software, analyze problems and implement your solutions independently focusing on C++ development and network protocols
• Develop complex software modules together with our agile development teams

Design and Build Test Automation Frameworks: Create robust, scalable, and maintainable test automation frameworks that serve multiple product teams and accelerate delivery cycles....

Application Development & Architecture: Design, implement, and maintain modern web and mobile applications using frameworks like Angular, .NET, and MAUI. Build cloud-native solutions that are scalable, maintainable, and aligned with microservices, event-driven architectures, and API-first...

Technical Product Ownership & Feature Leadership: Take full ownership of major technical features within the Digital Emergency System, from concept to delivery. Define and refine feature scope, ensuring alignment between business requirements, technical feasibility, and safety standards. Act as...

• You'll play a key role in shaping the next generation of our hybrid applications.
• Together with a passionate and cross-functional team, you'll design scalable, shared-library architectures that connect web and mobile platforms seamlessly.

• Design, implement and optimize effective data processing architectures in Python
• Extract, transform, analyze, clean and model data from different sources
• Implement and operate maintainable and reliable data pipelines using PySpark and Airflow with a strong focus on data quality

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

Strategy & Growth: Define and implement the strategy for the Supply unit, translating it into measurable OKRs for revenue, partner satisfaction, and operational efficiency. Be accountable for the entire revenue area in P&L....

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

•  leading a team of workers
•  reading technical drawings and assembling tents and metal halls according to plans
•  communicating with clients in English or German
•  working accurately and meeting deadlines for setting up structures

We are looking for an Expert DevOps Engineer (f/m/d) within the Sovereign Cloud Delivery & Operations team in the Customer Services & Delivery board area, focused on the Sovereign Cloud deployment of SAP SuccessFactors (HCM). In this role, you will join the Multi-Tenant Engineering team: We own,...

Define high-level software architecture, including microservices, APIs, data flows, and integration layers and ensure that the architecture supports scalability, security, modularity, and maintainability....

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency