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• Support the execution of M&A transactions that contribute to Grid Technology’s strategic and financial objectives
• Apply agile project management techniques to accelerate deal timelines and improve execution quality

• Leading Agile teams in PI planning with readiness and goal setting
• Facilitating creation of SMART PI objectives and tracking risks, impediments, and dependencies within Agile Release Train
• Optimizing team flow by establishing performance metrics and driving continuous process improvement

• Design, build, and operate enterprise-grade Agentic AI platforms
• Own architecture and delivery
• Mentor engineers
• Partner closely with client and internal teams
• Run secure AI environments at scale under strict regulatory and security requirements
• Architect Zero-Trust environments for LLM-based solutions

• 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

• Maintenance and support of daily activities of Travel and Expense and Company Card expenses associated with Roche Global Credit card programs
• Acting as primary point of contact for internal customers providing support and guidance for corporate credit cards and Concur expense management

• 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

• 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

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• First level support to end users in German and English via ticketing system, email and telephone
• Handling incidents, service requests, and user inquiries related to expense reimbursement processes
• Troubleshooting issues connected with expense reports, approvals, workflows, and user access

• Design, deliver, and continuously improve structured onboarding programmes for new sales hires
• Provide ongoing training and coaching to help frontline teams strengthen their skills, consistency, and confidence in their role

• 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

• Technikai menedzsment és fejlesztés a csapat felhőalapú adatplatformján és adatmodellein Azure Databricks környezetben
• A Data-Driven Project Modelling (DPM) motor fejlesztése és karbantartása DevOps legjobb gyakorlatok szerint

• 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

• 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

• Gherkin mondatok implementálása és testreszabása Java nyelven Selenium keretrendszerrel
• Tesztelők támogatása SOAP- és REST-alapú webszolgáltatások tesztelésében megfelelő teszteszközök használatával
• Tesztkeretrendszerek és -eszközök implementálása és fejlesztése JUnit, Mockito, Selenium használatával

• Strengthen Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

Establishment and operation of the build, release, and observability backbone for Meridian technical due diligence, code quarantine, reproducible software validation, controlled deployment preparation, and reliable engineering handover across cloud platform components...