Trainer állások VI. kerületben (it programozás, fejlesztés)

• Deliver training programs on Scrum, Agile methodologies, and related practices to diverse audiences.
• Design, develop, and continuously improve training materials, learning paths, and workshop content.
• Mentor and support Scrum Masters in their professional development.

• Változás gazdai feladatok ellátása, a feladat ellátásához a jegykezelő rendszer(ek) ismerete, használata
• Technológiai infrastruktúra területén egyszerűbb szervezői feladatok ellátása mentor segítségével
• Szükséges egyeztetések végrehajtása, kapcsolattartás belső ügyfeleinkkel, külső partnerekkel

• Részvétel mesterséges intelligenciával és felhős automatizációval kapcsolatos projektekben
• Adatok elemzése és modellek fejlesztése AI (pl.: gépi tanulás) eszközök segítségével
• AI-alapú chatbotok, nyelvi modellek és egyéb intelligens rendszerek fejlesztése és tesztelése

• Provide advanced (3rd line) IT support, handling complex and escalated hardware, software, and network issues.
• Act as an escalation point for junior and intermediate team members, providing guidance and technical expertise.

• Lead and manage complex economic crime, fraud, conflict of interest (COFI), and human security investigations, with hands‑on involvement when required.
• Analyse root causes, enabling circumstances, and systemic risks behind violations and misconduct, and draw clear, business‑focused conclusions.

• Design and develop scalable, high-performance systems using Java and Spring (Boot/Cloud) 
• Own end-to-end solution design, from requirements to production deployment 
• Architect systems capable of handling high-load, mission-critical operations 

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...

• Design and maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• Design, build, and operate system-level infrastructure for autonomous test vehicles
• Take end-to-end responsibility for components, OS provisioning, deployment and runtime behavior
• Debug complex issues across Linux systems, networking and hardware components

• Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage)
• Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability

• Lead the evolution of the design system with scalable components, patterns, and guidelines
• Partner with Product Managers, Engineers, Content Designers, and Brand Designers to deliver user-centred experiences
• Influence product strategy through research, insights, and design thinking

• Instructional Design Using E-learning, Instructor-led Training, Blended Learning, And Multimedia Formats
• Application Of Adult Learning Theories And Instructional Design Models
• Learning Needs Analysis And Course Format Selection
• Collaboration With Stakeholders To Define Project Requirements And Scope

• Design, code, review, and test new features in flagship products
• Refactor legacy software components
• Participate in largescale design of future product state
• Run experiments and create POCs for validation and refinement

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Design, develop, and maintain scalable web applications and backend services to support trading operations
• Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions

• Review and challenge engineering design documents
• Build and mentor a high-performing engineering team
• Contribute to strategic planning and execution as part of the Engineering Leadership Team
• Champion leadership behaviors and cultivate a motivated, high-achieving team culture

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations and provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Transform vague client ideas into concrete product scopes
• Define ideal team setup and project phases for new engagements
• Create realistic effort and time estimates
• Lead design portion of presales process
• Write and present design proposals
• Facilitate workshops with C-suite stakeholders

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety