Full stack developer java állások, munkák programozó, fejlesztő kategóriában

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Manage a team of software engineers (typically 5–10 people)
• Handle hiring, onboarding, performance reviews, and day-to-day support
• Keep the team productive, focused, and unblocked
• Support engineers in their technical and career growth
• Own delivery of features and improvements from planning to release

• Design and build backend services and APIs supporting data ingestion, transformation, and delivery to frontend and downstream consumers
• Own data storage and pipeline architecture including integration with streaming/event infrastructure

• Develop, design and maintain backend services for mobile applications using Java and Spring Boot.
• Implement and evolve RESTful APIs ensuring scalability, reliability, and security.

• Kommunikációs rendszerek tervezése
• Modern kommunikációs eljárások kidolgozása
• Webes kommunikációs platform építés
• Részvételi lehetőség K+F programokban
• Szakmai kihívást jelentő feladatok

• Assessment and clarification of customer functional requirements related to the system/software jointly with business consultants
• Development and modification of applications or part of the application
• Preparation of related documentation

• Development, optimisation, and maintenance of backend services using Java (Spring Boot)
• Contribution to design decisions for new and existing projects
• Deployment and scaling of applications in AWS (ECS, Lambda, S3, DynamoDB, etc.)

• Development and support of backend applications
• Documentation and testing
• Connection and integration with external systems through APIs

• Design and code clean, maintainable and high-performance custom-build solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

Conduct tasks related to applications development, establish, and implement new or revised applications systems and programs to meet specific business needs....

• Kommunikációs rendszerek tervezése
• Modern kommunikációs eljárások kidolgozása
• Webes kommunikációs platform építés
• Részvételi lehetőség K+F programokban
• Szakmai kihívást jelentő feladatok

• Design and code clean, maintainable and high-performance custom-built solutions based on Java technologies and related frameworks
• Follow defined methodology and standards to create software of high quality
• Conduct code reviews and provide constructive feedback to team members

• Design and build scalable data warehousing and lakehouse solutions
• Operate scalable data infrastructure and lakehouse solutions
• Create and own robust ELT pipelines connecting multiple internal and external data sources
• Design and implement data models aligned with industry best practices

• Szerver és frontend oldali funkciók fejlesztése
• Az elkészült rendszer tesztelése, dokumentálása
• Belső rendszereink fenntartásában, üzemeltetésében való aktív részvétel

• Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines, and routing logic for automation solutions

• Support the implementation and ongoing improvement of digital services and solutions for business customers
• Define and maintain development, testing, and operational standards to support continuous delivery
• Design, build, and maintain tools for deployment, monitoring, and operations

• 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

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools