Software developer állás, munka

• Building AI-assisted development workflows
• Testing AI-assisted development workflows
• Maintaining AI-assisted development workflows
• Implementing workflow utilities
• Implementing prompt packs
• Implementing repository analysis scripts
• Implementing documentation helpers
• Implementing integration adapters

• Develop native Swift/iOS applications
• Design user interfaces and functions as planned
• Participation in requirements gathering, project and technical planning
• Writing Unit and UI tests
• Participation in developer testing
• Continuous learning

• Lead AI-assisted software engineering activities for Meridian
• Design repeatable SDLC patterns for analysis, validation, documentation, and evolution of complex cloud software stacks

• Development of native Android applications
• Design of user interfaces and functions as planned
• Participation in the definition of requirements and estimation of tasks
• Writing Unit and UI tests
• Participation in developer testing
• Staying up-to-date with current technology trends in Android development

• Design, develop, and maintain software for client projects with iOS applications
• Explore and test new technologies
• Create demo or prototype applications
• Identify and implement innovative solutions

• Fejlesztés és telepítés AI-alapú alkalmazások
• Integráció Large Language Model-ekkel üzleti megoldásokban
• Skálázható backend szolgáltatások építése Python vagy Node.js használatával
• Intuitív felhasználói felületek fejlesztése React vagy Angular segítségével

Design of custom objects, custom fields, pick list, role based page layouts, workflow alerts and actions, validation rules, approval processes, custom tabs, custom reports, report folders, report extractions to various formats, design of Visualforce pages, record types, dashboards, and email...

• 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

• Development and enhancement of Java-based applications and components
• Design and implementation of new features
• Optimization and refactoring of existing solutions
• Technical analysis and troubleshooting of issues
• Development and maintenance of integrations

• Data gathering from various organizational sources
• Design and implementation of data integration processes
• Collaboration with business stakeholders for reporting requirements
• Extraction, transformation, and loading (ETL) of raw data

• Support modernization, stabilization, and enterprise readiness of existing Windows desktop applications
• Improve installer architecture
• Standardize deployment workflows
• Enhance CI/CD pipelines
• Ensure reliable update and installation experience
• Maintain and stabilize existing auto-update mechanism

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Participation in architectural discussions, prototyping, and evaluating technical feasibility
• Optimization, testing, and continuous improvement of system performance and reliability

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Support Meridian technical due diligence and transition readiness using AI-assisted software engineering methods
• Analyse OpenStack-style services and surrounding components to map APIs, configuration flows, service dependencies, database usage, and operational assumptions

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

• 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

• Skálázható cloud-native adatarchitektúrák tervezése Databricks vagy MS Fabric platformokra
• Adatmodellek, sémák és tárolási minták kialakítása (lakehouse, Delta, Parquet)
• Batch és streaming adatok betöltési pipeline-jainak megtervezése
• ETL/ELT folyamatok és transzformációs stratégia meghatározása

• 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

• Design and maintenance of comprehensive automated regression suites
• Leveraging AI-powered tools for automated test generation, self-healing test scripts, and intelligent visual regression testing