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• Architecting complex AWS infrastructures and zero-day compliant landing zones
• Understanding customers’ business problems and providing technology consulting to identify the best-fit solution
• Owning the end-to-end solution as a key decision-maker and driving the delivery team

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• 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

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Üzembe helyezési folyamat koncepciójának kidolgozása a projekt részére
• 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

• Tervezés, építés és üzemeltetés vállalati szintű Agentic AI platformok
• Műszaki vezetés és mérnökök mentorálása
• Szoros együttműködés ügyfél- és belső csapatokkal
• Biztonságos AI környezetek működtetése szigorú szabályozási és biztonsági követelmények mellett
• Architektúra és szállítás irányítása

• 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

• Definition and driving of cloud products and platforms evolution
• Collaboration with engineering teams and stakeholders across Deutsche Telekom
• Definition of product vision, strategy, and roadmap for cloud products and platforms
• Understanding of customer needs, market trends, and business priorities