Software development engineer állások, munkák VII. kerületben

• Service-level analysis of modular cloud software
• Mapping APIs, configuration flows, service dependencies, database usage, and operational assumptions of OpenStack-style services and surrounding components

• Analysis of report and dashboard requirements considering needed input data and preparation of output data
• Creation of information design and information architecture of the dashboard and reporting solutions
• Development of report and dashboard solutions

• Building and enhancing cutting-edge CAD features
• Developing world-class, testable, and maintainable code
• Collaborating closely with cross-functional teams to align technical innovations with business goals
• Evolving technical architecture and shaping engineering excellence

• Partner with engineering teams to identify the highest-leverage AI opportunities in the developer workflow
• Own foundational architecture and standards for how agents model releases and internal tools are evaluated and deployed internally

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...

• Gépek beállítása/kezelése.
• Korrekciózások elvégzése CNC gépeken mérési protokollok alapján.
• CNC megmunkáló-programok, műszaki rajzok értelmezése, szerszámok cseréje.
• Átállások, beállítások végrehajtása, befogókészülékek cseréje.
• Alkatrészek mérése kézi mérőeszközökkel, ellenőrző sablonnal.

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Design of architectural patterns for transition from legacy monolithic patterns to modern scalable AI-integrated architectures
• Leading the "Strangler Fig" approach for wrapping, refactoring, or replacing legacy components

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

• Building, operating and improving production data pipelines using Python, Airflow, Kubernetes and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Coordination of operations together with Data Center, IaaS and PaaS layers
• Coordination and support of network lifecycle activities including installs, upgrades, changes, and firmware updates
• Management of network interconnections and related documentation

• Gyártási, termelési, pénzügyi és kontrolling kimutatások, KPI-riportok készítése és fejlesztése Power BI-ban, prezentálás a vezetőség és a társosztályok felé
• A forrásrendszerek adatszerkezetének feltérképezése és dokumentálása

• Design, develop, and maintain scalable backend microservices using C# .NET within a Kubernetes-orchestrated environment
• Implement and improve traceability, observability, and stability of the growing microservice architecture through monitoring tools such as Grafana, Prometheus, and Dapr

• Development and refinement of core sports betting models for predicting match outcomes
• Building and maintenance of player statistics models analyzing player performance
• Design and implementation of risk management models to optimize exposure

• Development and maintenance of end-to-end manufacturing process models
• Application of simulation, value stream mapping, digital process modeling, and analytical tools to optimize manufacturing flows and improve productivity

• Prepare and analyze monthly financial reports and management presentations
• Support month-end and year-end closing activities
• Monitor actual performance against budget and forecast, identifying key variances and business drivers
• Support the annual budgeting (AOP) and monthly forecasting (LE) processes

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Building AI-powered automation for complex cloud engineering environments
• Combining platform engineering, software development and cloud expertise with modern Generative AI technologies to automate parts of the software development lifecycle

• Assisting in delivering engaging training sessions and workshops
• Supporting the development of IT courses with lead trainers and technical experts
• Creating and refining educational materials including exercises, tests, and case studies