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• Scaling the platform that powers primary support channels including self-service, FAQs, and high-traffic chat interface
• Refining and scaling the support ecosystem leveraging Generative AI engine
• Engineering the logic and user experience connecting customers to AI capabilities

• Lead and cultivate engineering talent
• Provide hands-on technical leadership
• Own and drive the technical vision
• Master stakeholder relationships
• Champion Agile and technical excellence

• Magas szintű technikai és üzleti tanácsadás ügyfelek számára az Atlassian termékekkel és saját fejlesztésű megoldásokkal kapcsolatban
• Ügyfelek üzleti és IT folyamatainak felmérése
• Komplex megoldások tervezése, bevezetése és minőségbiztosítása

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• szakértőként támogatod a Risk és Sales területhez kapcsolódó alkalmazások működését és fejlesztését,
• részt veszel az üzleti igények feltárásában, követelményeinek elemzésében és a legmegfelelőbb megoldások megtervezésében,

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

nagyvállalati, saját fejlesztésű üzleti folyamattámogató alkalmazásunkra vonatkozó üzleti igények részletes megismerése, egyeztetése az üzleti felelősökkel...

• Design, build, and maintain CI/CD pipelines
• Embed observability, automation, and reliability practices early in the development lifecycle
• Drive initiatives around Infrastructure as Code (IaC) using tools like Terraform and Kubernetes manifests

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Definition and development of system-level tests for high-end embedded computing systems
• Automation of test execution and evaluation through scripting in a CI environment
• Increase of test coverage by extending functional examples into comprehensive test suites

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Validation and control of all invoices relating to operational costs of properties occupied by Cushman & Wakefield's GOS clients
• Documentation of all potential subtenant recharges relating to operational costs
• Ensuring supported finance areas deliver against quality and performance targets

• 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

• Designing .NET applications for various platforms
• Implementing .NET applications for various platforms
• Testing .NET applications for various platforms
• Understanding the business domain
• Challenging software requirements in the assigned scope of work
• Acting as a team player

• Validation, control and processing of all invoices relating to headleases and documentation of all potential subtenant recharges
• Settlement of all payments in line with client SLAs relating to the validated operational costs
• Processing of all (sub)lease invoices

• Identification of highest-leverage AI opportunities in the developer workflow
• Building and maintaining the internal agentic AI platform engineers rely on daily
• Ownership of foundational architecture and standards for agent and model release evaluation and deployment

• Ownership and continuous improvement of the end-to-end sales operations process from quote creation through closed-won
• Identification and elimination of manual bottlenecks in the quote-to-cash process by designing and deploying intelligent automation and AI agents

• A szervezet szabályszerű és átlátható pénzügyi és adminisztratív működésének biztosítása
• A szervezet pénzügyi tervezési és riportolási folyamatainak koordinálása
• Költségvetések, pénzügyi előrejelzések, valamint vezetői és nemzetközi pénzügyi riportok elkészítése

• Meglévő Android alkalmazás accessibility hibáinak javítása
• Az alkalmazás további accessibility problémáinak önálló felkutatása és javítása