Programozó állások XIX. kerületben (programozó, fejlesztő)

• NET alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok kezelése és optimalizálása (pl. SQL Server, PostgreSQL, NoSQL)
• Szoftverek teljesítményének javítása és hibakeresés, meglévő kódok refaktorálása

Design, build, and maintain large-scale C++ analytics libraries with emphasis on performance, correctness, extensibility, and long-term maintainability in a production environment...

• 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

• Backend and frontend development with focus on high-performance and speed
• Cooperation with product team including UX, UI, and product management
• Building and coding backend in Node.JS and frontend in React in a complex web application
• Participation in and conducting code reviews

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

• 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 and own secure, scalable services end-to-end
• Guide technical decisions and evaluate trade-offs across reliability, performance, maintainability, and cost
• Architect and deliver AI and agentic product capabilities including LLM integrations, multi-step agentic workflows and intelligent automation

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem with leadership of upstream contributions

• Design and evolve robust cloud-native services and platforms with end-to-end ownership from ideation and prototyping to deployment, monitoring, and iteration
• Influence technical direction without direct authority by identifying architectural pain points and improving engineering standards

• Automation and streamlining of fraud investigation processes
• Improvement of tooling for fraud investigations
• Creation of seamless experience for agents and customers during fraud investigations
• Development of innovative solutions to tackle fraud

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Design and implement algorithms to process and analyze sensor data from sources like LiDAR, images, and satellite imagery
• Create algorithms to transform sensor data into actionable insights, such as reconstructing 3D models, segmenting spatial data, or detecting environmental features

• Design, implement, and maintain scalable BI and data processing solutions
• Develop and operate ETL pipelines for customer, booking, and product data
• Integrate data from various file- and REST-based Magenta APIs
• Generate and deliver reports and datasets for multiple downstream consumers

Munkakörhöz tartozó feladatok ellátása....

• Writing clean, maintainable Python code and automation scripts
• Building CI/CD pipelines and deployment automation for AI systems
• Creating infrastructure as code and configuration management solutions
• Developing APIs, microservices, and event-driven architectures

• Microsoft Business Central vállalatirányítási rendszer fejlesztése
• Vállalatirányítási rendszerhez kapcsolódó komplex egyedi megoldások fejlesztése
• Integrációk fejlesztése
• Rendszerek átfogó tervezése
• Rendszertervek dokumentálása
• Egyeztetés kulcsfelhasználókkal

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• Design and implement SAP IS-U developments using ABAP and ABAP OO
• Support SAP IS-U implementation projects and provide development support in productive environments
• Contribute to solutions running on SAP ECC and/or SAP S/4HANA for Utilities

• Development and enhancement of quantitative financial models
• Application of advanced technologies to real world financial problems
• Keeping up to date with the latest technological trends