Php head ci javascript jquery állás, munka

• Front- és backend fejlesztés a webes felületeinken, valamint a domainregisztrációs és a vitarendezési rendszer webes moduljain
• A vitarendezési folyamatok felületi és szerveroldali leképezése a szabályzat szerinti eljárási lépésekhez és határidőkhöz

• Support the implementation and ongoing improvement of digital services and solutions for business customers
• Define and maintain development, testing, and operational standards to support continuous delivery
• Design, build, and maintain tools for deployment, monitoring, and operations

• 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 such as logs, monitoring, gathering user feedback
• Monitoring application performance and resource planning

• Develop and maintain scalable web applications using Angular or React
• Build and optimize RESTful APIs and microservices using Node.js, Python or .NET
• Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Developing the following: Standalone Java application, CI/CD tools, Bioinformatics tools, Data visualization, Performance critical algorithms
• Ownership of specific software components and managing their life cycle.
• Supporting the development team in algorithm research and development

• 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

• Nemzetközi és magyar piacon is meghatározó rendszer tervezésében és fejlesztésében való részvétel
• Meglévő alkalmazások továbbfejlesztése, új programrészek fejlesztése és tesztelése
• Részvétel az IT projektekben a tervezéstől a megvalósításig
• Hibák keresése és javítása
• Adatbázis tervezés és fejlesztés

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

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

• Technikai tanácsadás és támogatás
• Szakértői szintű iránymutatás nyújtása belső ügyfelek számára Azure-alapú megoldások tervezésében, megvalósításában és üzemeltetésében, a vállalati landing zone architektúrán belül

• 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

• Resource account igénylése és összekötése namespacekkel
• Resource accountba kerülő komponensek megvalósítása RDS, APIk, S3, MSK, cognito, SES, private link endpoint és endpoint service nonprod és prod környezeteken
• RICE API kapcsolatok kialakítása

• 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

Performing tasks related to the position....

• End-to-end AI solution ownership from problem definition through prototype validation and production support
• Partnership with product managers and business stakeholders to translate real-world problems into data science and AI initiatives

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 and build scalable data warehousing and lakehouse solutions
• Operate scalable data infrastructure and lakehouse solutions
• Create and own robust ELT pipelines connecting multiple internal and external data sources
• Design and implement data models aligned with industry best practices