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

• 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, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Üzembe helyezési folyamat koncepciójának kidolgozása a projekthez
• CI/CD folyamat felépítése és üzemeltetése a vonatkozó CI/CD eszközök használatával
• CI/CD szerver adminisztrációja
• CI/CD scriptek előállítása
• Tesztautomatizálási eszközök integrálása a CI/CD folyamatba
• CI/CD eszköztár monitorozása

• 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

• Support Meridian technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions

• Strengthening 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

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Vezetés a vállalati szoftvermegoldások tervezésében, fejlesztésében, tesztelésében és telepítésében
• A teljes szoftverfejlesztési életciklus irányítása az igényfelméréstől a terméktámogatásig
• Automatizált tesztelési keretrendszerek építése és fejlesztése a szoftverminőség és kiadási sebesség javítására

• 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

• Planning, implementation, development and testing of HW/SW components for the company backbone and data center networks
• Preparation of technical feasibility studies, design proposals and execution of POCs for the networks

Work directly with clients, product owners, architects, and development teams to understand business and technical requirements and translate them into infrastructure and cloud architecture requirements...

• 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

• Stable operation of highly available applications in a 24/7 environment
• Monitoring of applications
• Deployment of applications
• Continuous improvement of applications
• Contribution to operational excellence
• Support of the entire application lifecycle from deployment to productive operation

• Developing and maintaining backend components in Golang
• Working in an agile environment and contributing to development and end-to-end testing
• Taking ownership of code and maintaining high quality standards
• Code review and testing
• Collaborating with internal partners and airline customers

• Building AI-powered automation for complex cloud engineering environments
• Combining platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle

• Biztonsági és kockázati értékelések végzése alkalmazások és rendszerek esetében
• Frontier AI szkennelési képesség beállítása, technikai eredmények elemzése és backlog kezelése
• Jira backlogok létrehozása, kezelése és megoldása biztonsági kérdések, kivételek és kockázati tételek esetén

• Creation of architecture and detailed design of HIL environments for embedded space systems
• Integration and maintenance of HIL environments for embedded space systems
• Integration of hardware components, simulators and software into cohesive systems

• 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

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management and Cloud-Native Application Protection Platform tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines including IaC scanning and policy-as-code