Technical administrator állások I. kerületben (it programozás, fejlesztés)

• Helping Scrum Masters and development team to achieve customer satisfaction
• Help scrum and development teams in operations like JIRA boards and Confluence spaces
• Remove impediments related to operations and coach the scrum team on removing impediments
• Resolve conflicts and issues that occur

Technical Issue Resolution: Investigate and resolve issues related to third-party integrations, including API failures, data transfer errors, and system inconsistencies....

• Design and define SAP UI/Fiori architecture and standards
• Lead UI design and development using SAPUI5 and Fiori
• Collaborate with backend and business stakeholders
• Ensure scalability, performance, and best practices

You will design, manage and operate ServiceNow solutions that power ISM’s user‑centric services, partnering with business stakeholders to co‑create workflows and knowledge that enable first‑time support, efficient escalations, and transparent service delivery....

Bridge Between Tech and Stakeholders: Act as intermediaries between engineering teams and stakeholders, ensuring clean, transformed datasets. Understand business requirements and translate them into technical specifications...

• ETL Pipeline Development: Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines, ensuring their performance and reliability.

• Design and develop cloud-native data processing pipelines, microservices, and APIs using Java (17+) / Spring Boot.
• Integrate with enterprise data platforms via messaging frameworks such as RabbitMQ or Zeebe.
• Deploy, monitor, and operate applications in public cloud environments (Azure preferred).

• Triaging new requirements, assessing their impact, and providing estimates for modifying data models accordingly.
• You will also be responsible for developing and enhancing business physical data models to meet evolving needs while driving alignment as necessary.

• Performance Optimization – Important for large datasets, but not critical for small reports.
• Accessibility (a11y) – Recommended for enterprise or public-facing apps.
• Testing (Jest/Cypress) – Good for production reliability, but not mandatory for MVP.