Php head ci javascript jquery állások, munkák it programozás, fejlesztés területen

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• 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

• Drive product features end-to-end with sleek, responsive UI improvements and seamless backend integration
• Leverage agentic coding assistants and AI workflows to accelerate delivery and automate engineering tasks

• Build and maintain simulation environments for mobile robotic perception and navigation
• Develop and integrate robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Szerver infrastruktúra üzemeltetése és fejlesztése
• Virtualizációs környezetek kezelése
• Mentési rendszerek felügyelete és rendszeres ellenőrzése
• Infrastruktúra tervezése, fejlesztése, erőforrás optimalizálás, dokumentálása
• Hálózati és rendszer oldali hibák elemzése és elhárítása

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients' technical teams
• Solution design and delivery
• Design and configuration of data labeling and processing pipelines using Python-based tools

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Általános IT feladatok
• Felhasználói támogatás (egyszerűbb problémák kezelése)
• Adminisztrációs feladatok
• Hardveres és szoftveres problémák megoldása

• Szakmai követelmények elemzése és tervezése szakértői csapattal, termékfelelősökkel és architektúráért felelős szakemberekkel együttműködésben
• Megoldási javaslatok kidolgozása kapcsolódó költségbecsléssel és egyeztetés az érintett felekkel

• Design, build and deploy LLM-powered pipelines and autonomous agents
• Scope and deliver AI solutions with stakeholders
• Set best practices around MLOps and production-grade AI
• Mentor developers and contribute to internal knowledge-sharing

• Design new features in a flagship SaaS product
• Code new features in a flagship SaaS product
• Review new features in a flagship SaaS product
• Test new features in a flagship SaaS product
• Refactor legacy software components
• Participate in large-scale design of the future state of the product

• Build and evolve CI infrastructure that validates performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments that help distinguish real regressions from environmental noise when running and profiling targeted workloads

• Development and maintenance of high-quality backend services using Spring Boot and Java (versions 11 through 21)
• Implementation and management of high-performance networking solutions using Netty for raw socket communication with embedded devices

Performing tasks related to the position....

• 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

• Business and system analysis throughout the full feature lifecycle
• Analysis and mapping of processes across the trading stack including accounts, instruments, liquidity and execution, custody, settlement, and reconciliation

• Design, build, review, test, and maintain Ruby on Rails features and services in line with Diligent’s agile engineering practices
• Own technical delivery for projects, epics, and major user stories, including solution design, implementation planning, and execution through to production

• 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 tool outputs to ensure quality and safety

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Management of a team of talented QA engineers
• Overall responsibility for the QA automation framework and manual testing strategy for mobile platforms
• Overall responsibility for quality processes for mobile platforms
• Ensuring smooth functioning of technical operations