Software development engineer állás, munka

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

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• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Zabbix monitoring rendszer üzemeltetése,
• Kizárólag a monitoringhoz kapcsolódó PostgreSQL és TimescaleDB üzemeltetése,
• Monitoring az OSI modell minden rétegében (hardvertől az alkalmazásig),
• Együttműködés az üzemeltetési és fejlesztési területekkel, architektekkel,
• Projektekben való részvétel.

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Mobil fejlesztések megtervezése Android és iOS platformra.
• Programok elkészítése a specifikációk alapján React Native keretrendszerben.
• Fejlesztett alkalmazások utólagos IT támogatása.
• Tesztelések támogatása.
• Fejlesztések bevezetésének támogatása.

• Design and implementation of the server architecture of the flagship product iREMS
• Finding solutions and developing to production stage for complex problems
• Collaboration with teams located in Budapest and Oradea to ensure constructive communication with co-developers and consulting/support teams

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

• Account creation, verification, updates, and closure
• Account authentication, controls, and security
• User session management
• Responsible gaming

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

• Egy komplex, üzleti szempontból kritikus, vállalati szinten használt alaptermék továbbfejlesztése agilis Java fejlesztőcsapatban
• Dinamikus interfészek továbbfejlesztése
• Ügyfél- és kiszolgáló komponensek továbbfejlesztése

• 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

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions deployed in products, particularly major open-source projects such as Linux

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• 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

• Manage and support Linux (Oracle Linux, RHEL) and Windows Server infrastructure environments.
• Administer Active Directory services, including DNS, DHCP, Group Policy, and identity management.
• Monitor, troubleshoot, and optimize system performance, availability, and reliability.

• 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