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• Drive AI and Automation with agentic AI tools and scripts to optimize workflows
• Manage full lifecycle onboarding and offboarding with provisioning of Apple and corporate hardware
• Administer and optimize internal platforms like Slack, Jira, Bitbucket, HubSpot, Coda, and Google Admin

• Implementation of Technical Solutions Based on Engineering Business Partner Requirements Using Python and CIM Database Product Lifecycle Management System
• Work in GIT Lab CI/CD Environment with Pycharm and JetBrain AI
• Development of Add-Ons and Interfaces to Automate and Optimize Business Processes

• Support of daily data production workflows across multiple asset classes
• Performance of quality assurance checks on incoming vendor data and internally generated analytics
• Investigation of data quality issues such as pricing discrepancies, missing data, and analytical outliers

• 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, build, and maintain large-scale C++ analytics libraries with emphasis on performance, correctness, extensibility, and long-term maintainability
• Lead the design of modern frameworks and abstractions for quantitative models with a pragmatic engineering mindset

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team

• Design and implement Data Pipelines in Snowflake
• Develop ingestion pipelines from various sources via Snowpipe and other means
• Create data transformations with SQL, Python, PaaS and 3rd party tools such as dbt
• Optimize existing pipelines and transformations for cost, load time, and maintainability

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

• Primary contact for all helpdesk inquiries
• Telephone and desk-side support for software, applications, and hardware issues
• Building, upgrading, and maintaining PC systems
• Setting up network access for new users

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases
• Automated RFP/RFI ingestion, classification, and response generation
• Intelligent document understanding
• Knowledge retrieval across product documentation, contracts, and past proposals

• 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

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

Technical Implementation & Quality Control...

• Client lead and single point of contact for Portfolio Administration services for each assigned client account
• Ensuring up-to-date, accurate, complete and consistent lease data base
• Delivering cost effective and proactive operational and financial portfolio management for occupier clients

• Testing new products using latest technologies
• Contributing towards test coverage from manual to automated tests
• Supporting product releases
• Responsible for software quality in an agile team
• Developing quality methodologies, testing strategies and plans

• Software Engineering Strategy Development and Execution
• Establishing Software Engineering Standards Across SEON Platform
• Building and Developing Software Engineer Leaders
• Leading Team Recruitment Efforts
• Collaboration with Product Teams in Planning and Risk Management
• Resolving Knowledge and Process Gaps

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése és tesztek implementálása

• Odoo-modulok fejlesztése és testreszabása Python 3, XML és HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

• Business process discovery and documentation
• Leading interviews and workshops with client stakeholders
• Structuring, analyzing, and documenting processes
• Supporting and contributing to interviews by consolidating inputs
• Providing overview of end-to-end business processes and dependencies