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• Ownership of data models and storage architecture behind AI systems across relational, graph, and retrieval-oriented data
• Building and operating APIs, backend services, and pipelines to keep data current and accessible

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Design, deploy, and manage cloud infrastructure on Microsoft Azure
• Implementation and maintenance of Infrastructure as Code using Terraform
• Automation of configuration management and application deployments using Ansible

• Work with product line leaders to understand product requirements and vision
• Translate requirements and vision into prioritized list of user stories and deliver to required timelines and quality standards

• 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

• Alkalmazások fejlesztése microservice architektúrában
• Funkcionális és nem-funkcionális követelmények technikai megvalósítása
• Felhőinfrastruktúra konfigurálása és karbantartása
• CI/CD pipeline-ok kialakítása
• Meglévő alkalmazások optimalizálása

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

• Support modernization, stabilization and enterprise readiness of existing Windows desktop applications
• Improve installer architecture
• Standardize deployment workflows
• Enhance CI/CD pipelines
• Ensure reliable update and installation experience
• Maintain and stabilize existing auto-update mechanism

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Komplex üzleti folyamatok végpontok közötti automatizálása Java és Spring Boot alapokon
• Automatizációs megoldások fejlesztése UI és API szinten Selenium, LeanFT és hasonló eszközök bevonásával
• AI-alapú prototípusok, belső eszközök és automatizációk fejlesztése kontrollált vállalati környezetben

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Work at leading consulting company and ServiceNow Global Elite Partner
• Be a part of rapidly growing team of ServiceNow professionals combining deep business process and technology experience: IT Service Management Consultants, Business Analysts, Project Managers, Architects and Developers

• 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

• 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

• Enterprise alkalmazások architektúrájának teljes körű tervezése és irányítása
• Üzleti igények technikai koncepciókká alakítása
• Nemzetközi, angol nyelvű fejlesztőcsapatok szakmai vezetése és koordinálása
• Fejlesztési eredmények integrációjának biztosítása a Telekom rendszerkörnyezetbe

• 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

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests and participation in developer testing
• Continuous learning

• 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 landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups