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• Responsibility as expert for Power Platform as a managed tool/service
• Development, support and maintenance of Power Platform solutions and connected services
• Driving SharePoint Online and Microsoft 365 migration, modernization, and transformation initiatives

• Act as the frontline contact for customers in need of support and provide timely, accurate, and complete responses to inquiries
• Educate customers on the product, usage, and features
• Diagnose, troubleshoot, and resolve technical issues, working with cross-functional teams as needed

• Definition of end-to-end scalable, resilient and efficient architectures for advanced AI systems
• Collaboration with delivery teams to translate architectural designs into work items
• Identification and resolution of architectural challenges during project execution

• Ansible és Kubernetes szkriptek írása
• részvétel konténerizáció és Git alapú CI/CD folyamat létrehozásában, automatizálásban
• egyedi fejlesztésű rendszereknek a release menedzselése, adminisztrálása, átadása ügyfélnek és telepítés teszt környezetben
• kapcsolattartás ügyféllel

Munkakörhöz tartozó feladatok ellátása....

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• Build and operate deployment pipelines for AI services covering CI/CD, infrastructure-as-code, environment promotion, and rollback
• Deploy and operate model serving, batch scoring, and orchestration pipelines across development, staging, and production

• Project management and execution of every stage of the project lifecycle
• Project planning and coordination including detailed project plans, timelines, delivery schedules, risk assessments, and mitigation strategies
• Resource management to meet project deliverables and optimize project profitability

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• 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

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

• Design, develop, and maintain scalable fullstack applications using .NET and Angular
• Integrate and manage messaging systems such as Kafka and RabbitMQ
• Deploy and manage applications using Docker and Kubernetes in AWS environments
• Work with various databases including PostgreSQL, MSSQL, and Couchbase

Plan and undertake security acceptance tests, execute thorough vulnerability assessments and penetration tests on IT, network infrastructure, applications (including mobile, web and thick-client solutions) on MOL Group level including IT projects, IT-Business projects, Business-IT projects and...

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Identify AI and automation opportunities across business processes
• Work with different departments to understand processes, pain points and repetitive activities
• Challenge existing ways of working and propose simpler, automated or completely new approaches

• Support aiSim project managers in day-to-day coordination of software development projects
• Work closely with software developers and cross-functional teams
• Record and track meeting minutes in Confluence
• Create and manage Jira tickets
• Communicate with internal and external stakeholders

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Verification process of IoT, Mobile and Infrastructure subsystems integrating the latest Arm IPs
• Design and verification activities to fulfill project requirements
• Collaboration with architecture, design, verification, performance analysis, implementation and various IP teams

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members