Javascript állások XX. kerületben (ai és automatizáció)

• Understanding implementation of Fixed Income Derivative Pricing Models written in C++
• Quantitative modeling and analysis of model output and time-series
• Implementation of daily model performance tests in Python
• Interaction with Model Risk Management for test approvals

• Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications
• Architecting and implementing key abstractions bridging software engineering and DevOps
• Proactively identifying pain points in the platform and proposing elegant solutions

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power shared AI services across the platform
• Build secure, high performance microservices and platform components on AWS, owning services end-to-end from implementation through deployment and production monitoring

• 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

• Hagyományos és AI eszközök segítségével elemzed és dokumentálod a meglévő rendszer üzleti logikáját
• Az elemzések alapján modernizációs javaslatokat és technikai specifikációkat készítesz az architect és a fejlesztőcsapat számára

• Nemzetközi csapat tagjaként hosszú távú tesztelési feladatok különböző projektekben
• Új automatizálási keretrendszer fejlesztése low-code tesztautomatizáláshoz
• A keretrendszer karbantartása, gondozása és folyamatos továbbfejlesztése
• Innováció és új technológiák aktív bevonása és alkalmazása

Performing tasks related to the position....

• Létező rendszerek újraalkotása
• Saját kódbázis létrehozása közösségi közlekedést érintő fejlesztési feladatok mellett
• Agilis fejlesztés iránti elkötelezettség
• Komplex business domain megértése és fejlesztése
• Webes alkalmazások fejlesztése
• Dokumentációk készítése

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

• Design test architectures
• Implement automation solutions and monitor tests
• Coordinate teams and load tests
• Advise stakeholders on software quality and testing measures
• Support test planning and control of test tasks
• Train new team members and support induction

• Design, build, and maintain modern web applications across the full stack
• Develop rapid prototypes and proof-of-concepts to validate business ideas
• Build AI-powered applications using modern LLM technologies, APIs, and cloud services

• Design, develop, and maintain C-based applications in Linux/UNIX environments
• Work with system-level interfaces (POSIX APIs, processes, file systems, sockets)
• Develop and enhance Kerberos authentication systems and related tooling

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting and technical requirements

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes including deployment automation, monitoring, troubleshooting and incident resolution

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

• Own solutions end-to-end from idea to production
• Design scalable digital products and platforms
• Drive AI-powered innovation and automation
• Collaborate across product, architecture, engineering and business teams

• Participation in the implementation of ServiceNow solutions including system configuration and development of custom features
• Support of technical consulting and testing activities
• Following implementation standards and technical best practices

• Designing and developing Java-based backend microservices
• Building scalable distributed systems
• REST and event-driven communication
• Network provisioning and orchestration workflows
• PostgreSQL modeling and optimization
• CI/CD pipelines and containerized environments
• Kubernetes / Docker infrastructure

• Collaboration with cross-functional teams to design and implement system and tooling components
• Development and optimization of cloud video frameworks including audio/video processing, streaming technologies, low-latency systems, and scalable cloud-based media solutions