Phd hell ci javascript jquery állások, munkák it programozás, fejlesztés területen

• 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

• Üzleti alkalmazások fejlesztésében való részvétel energetika szektorban
• A teljes fejlesztési folyamatban való aktív részvétel.
• Elosztott rendszerek fejlesztése mind on-premise, mind cloud környezetben.
• Dokumentációk készítése.

• 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

• Delivery on complex projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

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, 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

• Technical consultation and client education
• Creation of feasible delivery plans for on-time, on-budget, and high-quality project implementations
• Design and implementation of high-performing, maintainable, and secure software aligned with industry best practices and company capabilities

• Fejlesztés, karbantartás és támogatás felhőalapú adatműveleti infrastruktúrán és termelési adatcsatornákon
• Azure-alapú adat szolgáltatások és Databricks munkaterhelések tervezése, megvalósítása, működtetése és optimalizálása

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

• 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

• Lead frontend development of the application
• Deliver end-to-end features for web and mobile applications
• Occasional backend development
• Develop using frontend stack: React, React Native, Expo, Next.js, TypeScript, Supabase, React Query, Tailwind (NativeWind), React Native Reanimated, Skia

• Discovery & Shaping: Lead stakeholder workshops, translate business needs into MVP scopes, and map out scalable implementation roadmaps.
• End-to-End Architecture: Design and document (C4 diagrams, API contracts) robust cloud architectures covering application, data, and LLM layers.

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation of Azure cloud infrastructure to support Databricks and data platform workloads
• Management of Azure cloud infrastructure to support Databricks and data platform workloads

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

• 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

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

• Lead testing strategy and execution across complex microservices and frontend/backend architectures
• Design, develop, and maintain robust test automation frameworks integrating into CI/CD pipelines