Php home css javascript jquery állások XXIII. kerületben (ai és automatizáció)

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

• Dotnet alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok kezelése és optimalizálása
• Szoftverek teljesítményének javítása és hibák keresése
• Meglévő kódok refaktorálása

• CI/CD pipeline-ok kialakítása, fejlesztése és karbantartása
• Deployment és release folyamatok automatizálása
• Cloud infrastruktúrák üzemeltetése és optimalizálása
• Konténerizált környezetek kezelése (Docker, Kubernetes/OpenShift)
• Monitoring, logging és alerting rendszerek kialakítása és üzemeltetése

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Üzleti igények felmérése, elemzése és dokumentálása
• Funkcionális és nem funkcionális követelmények kidolgozása
• IT rendszerek és folyamatok tervezése, modellezése
• Együttműködés fejlesztőkkel, tesztelőkkel, üzemeltetéssel és üzleti területekkel

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

AI-driven vulnerability management. When frontier models can generate thousands of findings in a weekend, the bottleneck shifts from discovery to triage, verification, and remediation. We're building the pipeline that makes this sustainable....

• 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

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

• 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

• Definition and driving of the Quality Engineering strategy
• Design, creation and maintenance of reusable test automation frameworks
• Establishment of testing standards and best practices
• Introduction and improvement of CI/CD quality gates
• Building of E2E, integration and API testing capabilities

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

• Shaping AI and digital projects as a trusted advisor to clients navigating AI adoption and digital transformation
• Developing new offerings and opening new opportunities by shaping service propositions and targeting companies and sectors

Performing tasks related to the position....

• 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

• 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

• 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