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• Üzembe helyezési folyamat koncepciójának kidolgozása a projekthez
• CI/CD folyamat felépítése és üzemeltetése a vonatkozó CI/CD eszközök használatával
• CI/CD szerver adminisztrációja
• CI/CD scriptek előállítása
• Tesztautomatizálási eszközök integrálása a CI/CD folyamatba
• CI/CD eszköztár monitorozása

• Üzembe helyezési folyamat koncepciójának kidolgozása a projekt részére
• CI/CD folyamat felépítése és üzemeltetése a vonatkozó CI/CD eszközök használatával
• CI/CD szerver adminisztrációja
• CI/CD scriptek előállítása
• Tesztautomatizálási eszközök integrálása a CI/CD folyamatba
• CI/CD eszköztár monitorozása

• Building and operating Kubernetes platforms on Open Telekom Cloud
• Managing Infrastructure as Code with Terraform and Terragrunt
• Implementing GitOps delivery using ArgoCD
• Operating PostgreSQL and Apache Kafka on Kubernetes
• Integrating security controls into CI/CD pipelines

• Build and maintain scalable, reliable, and secure environment on AWS using Infrastructure as Code tools
• Oversee the deployment, configuration and management of clusters
• CI/CD pipeline development with designing and managing CI/CD pipelines, Infrastructure as Code, and GitOps toolset and skillset

Shaping and evolving the architecture of MDO network automation capabilities including reusable automation patterns, interfaces and technical guidelines...

• Responsibility for Identity & Access Management (IAM)
• Deployment, management, and customization of Keycloak in an Amazon EKS environment using modern CI/CD tools
• Support and optimization of Microsoft Active Directory infrastructure

• Design, develop, and maintain scalable backend microservices using C# .NET within a Kubernetes-orchestrated environment
• Implement and improve traceability, observability, and stability of the growing microservice architecture through monitoring tools such as Grafana, Prometheus, and Dapr

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Design, build, and maintain robust CI/CD pipelines
• Manage and optimize cloud infrastructure on T Cloud Public, ensuring high availability and performance
• Administer and troubleshoot Linux and Windows systems in production environments

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing workflow utilities, prompt packs, repository analysis scripts, documentation helpers, and integration adapters

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Kialakítás és üzemeltetés ügyfelek részére dedikált sandbox környezetek
• Infrastruktúra automatizálás Terraform vagy Bicep használatával
• Fejlesztés GitLab alapú deployment pipeline-ok

• Writing clean, maintainable Python code and automation scripts (bash/shell)
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions (terraform)
• Developing APIs, microservices, and event-driven architectures

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• On-premise IT infrastruktúra üzemeltetése, támogatása és folyamatos fejlesztése
• Linux alapú rendszerek adminisztrációja
• Kubernetes klaszterek adminisztrációja
• Middleware komponensek adminisztrációja
• Automatizációs feladatok megvalósítása és karbantartása

• Operation and evolution of Kubernetes platform
• Building, configuring, and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Design and operation of NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Support the Python development process
• Contributing to the successful execution of customer projects
• Engage in rigorous testing of code and applications to ensure quality and performance
• Participate actively in the DevOps team activities including daily calls and project-related communications

• Design, implement, and maintain backend services using Java 25 and Spring Boot 4.1
• Evolve the existing modular monolith toward a cleaner hexagonal architecture
• Implement and secure OAuth 2.0/OIDC identity and access management flows and APIs
• Develop and maintain RESTful APIs and service interfaces

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration