Ai developer állások VII. kerületben (programozó, fejlesztő)

• Tervezési feladatokban való részvétel (HLD, LDD)
• Log management, distributed tracing és metrikagyűjtő rendszerek fejlesztése, üzemeltetése
• Monitoring dashboardok, riasztások kialakítása
• Incidens analízis támogatása
• Monitoring rendszerekhez kapcsolódó automatizálási feladatok

• Multi-tenant admin platform fejlesztése Laravel + Filament alapon
• Microservice-ek fejlesztése TypeScript/Fastify alapon — ebbe fokozatosan kapcsolódsz be
• REST API-k tervezése és implementálása
• Adatbázis-tervezés, migrációk, optimalizálás (PostgreSQL)
• Automatizált tesztek írása (Pest, mutation testing)

Projektleírás: A Siemens vasúti rendszerek projektálása több évtizede egy komplex szoftver rendszer segítségével történik. A projekt célja, hogy a rendszert új, modern alapokra építsük át, miközben biztosítjuk a folyamatos használhatóságot. Feladatok: -Visual Basic-ben (VB6) írt szoftver átírása...

Project specific intro: We are an international i-test team working on industrial automation systems, focusing on quality - but not in the “traditional testing" sense. We build and improve our own test automation tools and frameworks, developed in C#, creating tools, tests, and supporting systems,...

• Building and operating a unified, API-first portfolio services platform
• Enabling portfolio onboarding and lifecycle management
• Providing intelligent self-service capabilities across Aladdin and Enterprise

• Algorithm Design and Implementation for Sensor Data Processing
• Algorithm Creation for Transforming Sensor Data into Actionable Insights
• Techniques Development for Preprocessing Raw Sensor Data
• Algorithm Optimization for Performance and Scalability
• Integration of Data from Multiple Sensor Types

• Backend applications development and support
• Documentation and testing
• Connection and integration with external systems through APIs

• Implementation of Technical Solutions Based on Engineering Business Partner Requirements
• Development in Python in Connection with CIM Database Product Lifecycle Management System
• Work in GIT Lab CI/CD Environment with Pycharm and JetBrain AI

• Use of formal verification algorithms to formally prove correctness of complicated logic problems
• Identification of key behaviors for verification to write clear testplans for complex designs
• Implementation of testplans using innovative formal techniques
• Driving tools to realize their best performance

• 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

• Software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms
• Creation of software stacks for Arm’s reference platforms for future Arm devices
• Development of test code for software stacks

• Maintenance of the Tulip Operating System including building, packaging, and support
• Configuration and maintenance of routing, networking, and device configurations
• Maintenance and addition of bootloader, kernel patches, and device trees on Tulip hardware
• Porting the Tulip OS to other hardware targets

• Building and evolving CI infrastructure validating performance methodologies across cloud, on-prem, and hardware targets
• Designing controlled, reproducible test environments to distinguish real regressions from environmental noise

• 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
• Rigorously validate AI outputs to ensure quality and safety

• Building and evolving the Risk Manager platform
• Developing secure, scalable microservices using TypeScript and React in a serverless architecture on AWS
• Contributing to AI-powered features for risk management
• Taking end-to-end ownership of services from development to deployment and monitoring

• Develop and maintain our python-based model-agnostic AI agentic backend, managing connections between plugins and other components of the system
• Create and develop a plugin infrastructure of agents, MCPs, skills of our internal and external services under our core platform

• Design and delivery of secure, scalable, high-performance services and platform capabilities
• Setting technical direction across multiple teams
• Owning complex initiatives end-to-end from problem framing to iteration

• Orvosi berendezések megismerése
• Gyártmányfejlesztési folyamatok megismerése és technológiák alkalmazása
• Orvosi berendezések beágyazott szoftvereinek fejlesztése
• Javaslattétel fejlesztésekre és változtatásokra
• Együttműködés külföldi fejlesztőcsapatokkal
• Szoftverdokumentáció elkészítése

• Ownership and delivery of well-defined stories independently with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

• 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