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•Development and testing of the modern engineering software •Active work in an agile scrum team...

• Setup and maintenance of IT cloud infrastructure for multiple products
• Setup and maintenance of the automated build/deployment jobs
• Maintenance of various support tools and utilities
• Monitoring application performance and resource planning

• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions

• Új funkciók és termékek manuális és automatizált tesztelése
• Python alapú automatizált tesztek fejlesztése és karbantartása
• Regressziós tesztek végrehajtása és folyamatos bővítése
• Tesztesetek készítése új funkciókhoz az ügyfélhibák alapján
• Exploratory és use case alapú tesztelés

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Real-time risk assessments using machine learning
• Ownership of risk infrastructure for Instant ACH in the US market
• Collaboration with software engineers, data analysts, and data scientists to design rules and refine ML models
• Support for chargeback and fraud investigation teams

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Development of highly scalable services realizing AI/ML functionalities

• Producing high quality code for the full technological stack from database to UI
• Assisting with troubleshooting basic issues and improving application performance
• Documenting and demonstrating solutions with a focus on security and performance

• Ansible és Kubernetes szkriptek írása
• részvétel konténerizáció és Git alapú CI/CD folyamat létrehozásában, automatizálásban
• egyedi fejlesztésű rendszereknek a release menedzselése, adminisztrálása, átadása ügyfélnek és telepítés teszt környezetben
• kapcsolattartás ügyféllel

• 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

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

EZEK LESZNEK A FELADATAID • MES fejlesztő kolléga munkájának támogatása • MES funkciók fejlesztésében való segítségnyújtás • Gyártósori adatok elemzésében való részvétel ...

• Odoo-modulok fejlesztése és testreszabása Python 3, XML, 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

• Configuration of Excel catalogs supported by macros and internally developed tools
• Adjustment and update of interrelated XML files
• Maintenance of systems for storing and managing new navigation content

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...

• 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 tools such as Terraform, AWS CloudFormation, or Pulumi

• Identification of highest-leverage AI opportunities in the developer workflow
• Ownership of foundational architecture and standards for agent modeling and internal tool evaluation and deployment
• Building and improving onboarding, documentation, and discovery layers for engineers

• Delivery of agentic solutions across multiple client deployments
• Building and configuring full-stack AI-enabled solutions
• Embedding with client service teams and client teams to understand needs
• Translating client needs into technical and functional requirements

• Development of innovative features for customer-facing applications and internal platforms using Angular and related technologies
• Transformation of UI designs and prototypes into modern interfaces adhering to global accessibility standards

• Collaboration with a global network of technologists, designers, and strategists
• Development of cutting-edge products
• Mentoring client teams
• Shaping engineering cultures
• Development of software products and services from the ground up