Senior devops engineer devops csapatvezető állások, munkák

• 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.

Deploying and managing cloud-based infrastructure using Infrastructure as Code (IaC) tools Automating deployments and other tasks through CI/CD systems Setting up and maintaining backup, monitoring, and alerting systems Researching and applying new technologies...

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....

Analyze requirements and develop solution concepts for data exchange between defined IT systems and the management of business processes in the cloud...

Running a lot of builds and tests on a lot of architectures, operating systems, and devices. Collecting a lot of data and working collaboratively to brainstorm and build infrastructure and tools to make sense of it all. Building relationships that allow us to work together as a team, not a group....

• Maintain and monitor our analytics platform across hardware, network, operating systems and shared services
• Automate installation processes and streamline application delivery pipelines using scripting and infrastructure-as-code with tools such as Terraform or Ansible

Embed Security in CI/CD: Automate security testing in GitLab (SAST, DAST, dependency scans) to catch vulnerabilities early and enable developers to move fast with confidence....

Stabil, jól skálázható és átlátható rendszerek építése Automatizálás Optimalizálás Monitorozás Kísérletezés új technológiákkal Csapatban való munka, visszajelzés és tudásmegosztás...

You will play a significant role in major technical initiatives and projects focused on optimising data pipelines, improving service performance, and ensuring infrastructure scalability...

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

• 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.

• Modern development tools including .NET 8, Visual Studio 2022, Git and Azure DevOps
• Containerization and orchestration with Docker, Kubernetes, Helm, and YAML
• Backend systems built in C#, following a microservice architecture with WebSocket, REST, and RabbitMQ for message-based communication

• 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.

Fejlesztési folyamatok meghatározása és támogatása a projekt teljes életciklusában Együttműködés az ügyfelekkel a specifikációk felállításában és vállalható határidők meghatározásában Python vagy Node.js programozási nyelv ismerete és alkalmazása a projektek során (főként Python) CI/CD-pipeline...