E learning állások XXII. kerületben (programozó, fejlesztő)

• Operate, maintain, and continuously improve cloud-based platforms supporting digital products and services.
• Contribute to platform operations activities, ensuring availability, performance, and reliability across development, test, and production environments.

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace for Tulip hardware
• Identification of key features and product performance
• Contribution to strategic planning
• Maintenance of the Tulip Operating System including building, packaging, and support

Participate in the development and configuration of the Salesforce Marketing Cloud platform, including email, SMS, push notifications, inbox messages, journeys, automations, and creating segments....

• Design end-to-end cloud solutions supporting digital products and business initiatives.
• Translate business requirements into scalable, secure, and cost-efficient architectures.
• Drive cloud adoption, modernization, and architecture best practices across the Digital Factory.

Project specific intro: Join a cybersecurity and AI project supporting Siemens Cybersecurity Governance, Risk & Security (CYS GRS ARC). You will work on the further development of the AIGIS System, an AI-powered platform that helps Siemens employees respond to customer cybersecurity questionnaires...

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

• Design and develop robust, scalable backend components using Java and the Spring framework
• Contribute to the redesign and modernization of a legacy Python-based system
• Contribute to API design, system architecture, and performance tuning for the team’s services

• Design and development of frameworks and guardrails for ML solutions and products
• Staying updated on industry trends, emerging technologies, and best practices
• Directing exploration and implementation of new AI technologies and methodologies including MLOps

• Rapid prototyping of proof-of-concepts for next-generation sports technology
• R&D exploration of diverse, open-ended technical challenges
• Writing adaptable, efficient, robust, and multithreaded C++ applications

• Design, develop and maintain software, tools and applications across the Baseball tracking platform
• Modernise and improve existing software systems
• Develop cross-platform C++ applications and visualisation components
• Participate in code reviews, pair programming and agile ceremonies

• 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

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• Development and improvement of football ball and player tracking algorithms using multi-camera systems
• Contribution to multi-view geometry solutions for accurate tracking across the field of play
• Support for approaches to handling occlusion and recovery in fast-paced sports scenarios

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• 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

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Designing, developing, and improving ball and player tracking algorithms using multi-camera systems
• Owning and evolving multi-view geometry solutions for accurate, court-wide tracking
• Developing robust approaches to occlusion handling, recovery, and failure modes in fast-paced sports scenarios

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features

• Backend and frontend development with focus on high-performance and speed
• Cooperation with product team including UX, UI, and product management
• Building and coding backend in Node.JS and frontend in React in a complex web application
• Participation in and conducting code reviews

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress