Php help ci javascript jquery állások IV. kerületben (it tanácsadó, elemző, auditor)

• Administration, configuration, and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• Ownership of architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines including retrieval strategy, chunking, indexing, and monitoring

• Design intelligent contact center platforms based on Amazon Bedrock AgentCore and Amazon Connect
• Design agent and conversation architectures including tool integration, persistent memory, multi-agent orchestration, and guardrails

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn data into actionable business value aligned with business goals

• 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

• End-to-end felelősség cloud és on-premise / private cloud platformok architektúrájáért
• Cloud platformok (AWS, Azure, T Cloud Public) tervezése és fejlesztése
• Kubernetes-alapú üzemeltetési és deployment megoldások kialakítása
• Shared és managed service architektúrák megtervezése és továbbfejlesztése

• 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)

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

Helping clients ensuring their IT systems, processes, and operations align with leading professional standards, industry frameworks, and regulatory requirements (ITIL, COBIT, ISO 27001, ISO 27701, ISO 22301, DORA, NIS2, NIST)....

• Design and implement security controls across identity (IAM/PAM, federation, conditional access)
• Design and implement security controls across data (encryption, key management, classification)
• Design and implement security controls across network (segmentation, secure landing zones, WAF/CASB)

• 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

• 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

• Design landing zones, network topology and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Service-level analysis of modular cloud software
• Mapping APIs, configuration flows, service dependencies, database usage, and operational assumptions of OpenStack-style services and surrounding components

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Lead AI-assisted software engineering activities for Meridian by designing repeatable SDLC patterns
• Anchor the engineering approach for OpenStack-derived services, repository-scale understanding, and sovereign software handover readiness

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Industrialization of AI-assisted engineering workflows for Meridian
• Packaging repeatable patterns supporting codebase intake, dependency extraction, build triage, documentation generation, and technical evidence creation across cloud software work packages

• Üzleti és technológiai elvárások elemzése a kisebb változásoktól a stratégiai programokig
• Üzleti igények alakítása műszaki megoldássá
• Technológiai megoldási javaslatok kidolgozása
• Tervezés során felmerülő követelmények gyűjtése és karbantartása

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions