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• Planning and operating AI-agent and automated delivery pipeline infrastructure on OKD/OpenShift platform
• Integrating LLM-based tools into DevOps processes including automated code reviews, test executions, and runbook generation

• Technical leadership post-sales for strategic customers in big data projects
• Design and implementation of big data projects from architectural design to data engineering and model deployment

• Partnership with GBS Operations leadership and Global Process Owners to prioritize digital initiatives
• Oversight of digitalization efforts for SSC workstreams (R2R, P2P, Customer Care, O2C)
• Partnership with Global Process Owners to drive development pipeline for workstreams

• Design and maintain automated CI/CD pipelines
• Automate provisioning and management of infrastructure using Infrastructure as Code tools
• Manage health and performance of mission-critical applications
• Implement advanced monitoring, logging, and tracing for legacy and modern services

• Design, build and operate scalable data pipelines using Azure Data Factory and Databricks (batch and streaming).
• Develop and maintain robust dimensional data models (Kimball) using dbt within a modern bronze/silver/gold medallion architecture.

• AI‑vezérelt delivery pipeline‑ok tervezése és megvalósítása BPMN folyamatmodellekből user story‑k, elfogadási kritériumok, kódvázak és API‑specifikációk automatikus előállításával
• AI‑ügynökök építése és karbantartása a fejlesztési életciklus ismétlődő szoftvermérnöki feladatainak automatizálására

• Build and improve the WebRTC media pipeline across web, desktop and mobile clients, including audio, video, screen sharing and data channels.
• Develop and scale our Selective Forwarding Unit (SFU) and signaling services to support large meetings, webinars and breakout rooms.

• 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

• Supporting and consulting our product lines in implementing required product and solution security practices
• Acting as the primary security point of contact for product teams during development, project execution, and service operations

• 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, 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

• Advise development teams on secure software design, architecture and coding practices.
• Review security-critical code, components and APIs to identify vulnerabilities and recommend practical solutions.

• Lead develop AI services from PoC to Production
• Lead the development of a best practice framework for AI development (both narrow and GenAI) for all dev streams and teams
• Lead the definition, evolution and drive the setup of infrastructure architecture for the AI applications we are building

• A React/TypeScript front-end;
• complex reporting and business intelligence functionality implemented in Microsoft SQL Server: T-SQL, stored procedures;
• a .NET Web API back-end hosted on IIS and responsible for the system's core operations;

Own end to end delivery: You architect, implement, and maintain high quality Salesforce solutions across Apex, Flows, LWC, and data models, and you take technical ownership from design to release....

• 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

• 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

• Design, build, and maintain build a secure and performant unified Edge platform for all partner-facing and customer-facing traffic.
• Bring a strong engineering perspective to the team, helping to instill software design best practices, scalable system architecture, and high-quality code standards.