Programme állások XXIII. kerületben (it programozás, fejlesztés)

Review business requirements and ensure alignment with end-to-end customer journeys, translating needs into user stories, technical specifications and architecture designs....

• Project management and execution of every stage of the project lifecycle including international projects in the NORAM and EMEA regions
• Project planning and coordination including development of detailed project plans, timelines, delivery schedules, risk assessments, and mitigation strategies

• 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

• Az Erste Bank saját fejlesztésű és egyéb üzleti alkalmazásainak üzemeltetésére és a fejlesztéseinek támogatására.
• A bank pénzforgalmi backend rendszereinek napi szintű üzemeltetésére a vonatkozó utasítások, eljárásrendek, kézikönyvek és egyéb dokumentációk alapján.

Own end-to-end design projects, delivering comprehensive solutions from user requirements and information architecture to task flows, wireframes, and high-fidelity, production-ready interfaces....

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...

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

• Management of big data, cloud engineering, and machine learning projects for EMEA customers
• Leading end-to-end customer projects from kick-off to project closing
• Managing project and team day-to-day operations
• Handling customer communications and resolving escalations

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• 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.

• 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.

• 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.

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Drive commercial delivery of next-generation tracking products through field trials and full commercial launch
• Shape agentic development culture by organizing development around AI-delegation and AI-augmentation models
• Set the bar and hire talent with proven fluency in agentic development at scale

• 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 and MLOps projects
• Ensuring successful execution of cloud migration projects

• Product definition and backlog ownership
• Quality and testing coordination
• Cross-functional delivery
• Deployment and early-life support
• Growth toward level 4

• Development and maintenance of Unreal Engine applications using modern C++ and Blueprints
• Building new functionality and enhancing existing systems for graphics platform
• Collaboration with engineers, artists, product managers and QA teams

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Collaboration with cross-functional teams to design and implement system and tooling platform components
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions