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• Operating a mobile communication platform for corporate IOT devices
• Analysing API related issues
• Providing 3rd level application support
• Executing SQL fixes through CI/CD pipelines
• Problem management of assigned tickets
• Organizing virtual meetings with other departments and SW vendors

• Deployment, configuration and management of Atlassian products (JIRA Service Management, Confluence, Jira)
• Design and implementation of CI/CD pipelines for automated deployments and integrations
• Maintenance and improvement of system reliability, scalability and security

• 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

• 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 the Microsoft Active Directory infrastructure

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Definition of product vision, strategy, and roadmap for cloud products and platforms
• Understanding of customer needs, market trends, and business priorities

• Design, deploy, and manage cloud infrastructure on Microsoft Azure
• Implement and maintain Infrastructure as Code (IaC) using Terraform
• Automate configuration management and application deployments using Ansible
• Build, optimize, and support CI/CD pipelines for continuous integration and delivery

Architecture & Infrastructure: Set standards for infrastructure, access, and deployment with IT, security, and the ML & AI engineers. Build all AI platform components with Terraform on top of the AWS foundation and GitLab setup of our cloud engineering team....

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

• Design, develop and maintain document templates in an OMS / CCM environment
• Create layouts aligned with corporate design (CI/CD) standards
• Clarify document requirements with business stakeholders and translate them into solutions

• Design and maintain automated pipelines for legacy .NET deployments and modern containerized/Kubernetes workflows
• Automate provisioning and management of infrastructure using Terraform, Ansible, or Bicep

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

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• 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

• Take ownership of the operational delivery of the Azure Foundation within a broader cloud transformation program.
• Translate existing technical requirements and architecture designs into structured work packages, project plans, milestones and deliverables.

• 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

• Assistance in setting up and maintaining CI/CD pipelines
• Monitoring application and infrastructure performance
• Identification of application errors and configuration issues
• Collaboration with team members to streamline workflows and optimize system performance

• Fejlesztés és megvalósítás komplex generatív AI alkalmazásokban a felfedezéstől a bevezetésig
• Legjobb gyakorlatok keretrendszerének kialakítása felhőarchitektúrák telepítéséhez AI ügynökök támogatására, költség, teljesítmény és biztonság fókuszával LLM munkaterhelésekhez és vektor kereséshez

Design and maintain comprehensive solution architecture and technical design documentation, while delivering robust integration and backend solutions for enterprise applications and services...

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Éles AI infrastruktúra építése és karbantartása Infrastructure as Code (Terraform/CDK) használatával
• AI ügynökök gyors és biztonságos telepítésének támogatása monitoringgal, naplózással és telepítési automatizálással