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• Odoo-modulok fejlesztése és testreszabása Python 3, XML, HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• Planning and overseeing all phases of projects including discovery, development, testing, deployment, and handover
• Managing scope, priorities, milestones, dependencies, resources, quality, timelines, and budgets
• Maintaining clear and timely communication with clients and internal teams

• Consultant and technical expert on the Salesforce platform providing support to stakeholders and users
• Collaboration with experts from other areas to leverage Salesforce technologies through integrations

• ServiceNow megoldások tervezése a jelenlegi és jövőbeli projektek üzleti, funkcionális és megfelelőségi követelményeinek megfelelően
• Szoros együttműködés a Scrum csapattal a backlog elemek átdolgozása, a követelmények tisztázása és pontos becslések készítése érdekében

• Coordinate and manage daily operation of Enterprise Server Services (ESS) team with 8 team members
• Figure out new directions, plans to be able to improve ESS services and to deliver more value to the business.
• Managing a team of 8.

• Define and manage domain-specific architecture standards, principles, and policies aligned with enterprise standards.
• Lead tool and technology selection within the domain(s) to meet strategic objectives.

• Lead and develop the E&P IT Operations, application, and data teams.
• Mentor the team to deliver high-quality solutions and uninterrupted operations.
• Communicate clearly regarding team goals, deadlines, and required training.

• Stakeholder Management: Build strong relationships with key Business Stakeholders and manage the Super User community.
• SPOC for IT Demands: Act as the single point of contact for Business IT demands and coordinate responses within IT.

• Drive product features end-to-end with sleek, responsive UI improvements and seamless backend integration
• Leverage agentic coding assistants and AI workflows to accelerate delivery and automate engineering tasks

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Definition and driving of the Quality Engineering strategy
• Design, creation and maintenance of reusable test automation frameworks
• Establishment of testing standards and best practices
• Introduction and improvement of CI/CD quality gates
• Building of E2E, integration and API testing capabilities

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Supports the implementation, execution and development of MOL Group Test and Release Management strategy on his/her area.
• Supports Major and Minor Releases and coordinating the related activities (Prod/Test/Dev env.).

• Java alapú backend szolgáltatások és microservice-ek tervezése, fejlesztése,
• REST API-k, backend interfészek és rendszerintegrációk fejlesztése,
• Spring Boot / Spring alapú alkalmazások és komponensek fejlesztése,
• meglévő backend rendszerek továbbfejlesztése, refaktorálása és optimalizálása,

• 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

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain the entitlement decision cache with invalidation on entitlement changes

• 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