Php hands crm javascript jquery állások XIX. kerületben (it programozás, fejlesztés)

• Üzleti igények strukturált összegyűjtése, megértése és egyeztetése
• Dokumentumok készítése (üzleti követelmények, specifikációk, tesztesetek)
• Döntéstámogató anyagok, riportok készítése
• CRM és low-code / no-code alapú megoldások beállítása, paraméterezése, üzleti tesztelése

• Setup, operation, maintenance, and reliability of databases used for IT service operations and ITSM processes
• Operation of databases supporting service management, monitoring, reporting, and operational tooling

• Automatizált UI és end-to-end tesztek fejlesztése webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek karbantartása webalkalmazásokhoz
• Automatizált UI és end-to-end tesztek stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése

• Training and fine-tuning models against curated datasets
• Building and maintaining evaluation suites
• Analyzing model failures and translating findings into dataset or training improvements
• Packaging models with documentation, benchmarks, and reproducible evaluation results

• Responsibility for Identity & Access Management (IAM)
• Deployment, management, and customization of Keycloak in an Amazon EKS environment using modern CI/CD tools
• Support and optimization of the Microsoft Active Directory infrastructure

• Lead the design of AI-assisted SDLC patterns for repository intake, code exploration, build diagnosis, and engineering evidence generation
• Manage and prioritize the product backlog balancing maintenance and modernization efforts

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Develop agentic AI applications from refined business and technical requirements.
• Implement agent workflows, prompts, model integrations, memory, RAG, tool calling, security controls, and human-in-the-loop steps.

• Deployment, configuration and management of Atlassian products (JIRA Service Management, Confluence, Jira)
• Design and implementation of CI/CD pipelines for automated deployments and integrations
• Maintenance and improvement of system reliability, scalability and security

• Design, deploy, and manage cloud infrastructure on Microsoft Azure
• Implement and maintain Infrastructure as Code (IaC) using Terraform
• Automate configuration management and application deployments using Ansible
• Build, optimize, and support CI/CD pipelines for continuous integration and delivery

• Architecture and delivery of production-grade LLM systems and classical ML solutions
• Design, evaluation, and optimization of RAG pipelines
• Building scalable, production-grade LLM services and agentic workflows alongside traditional ML systems

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Executing system data maintenance and administrative activities in Cornerstone and relevant learning management systems
• Providing non-systems related learning process support

Strengthening the digital capabilities of Roche globally by supporting central initiatives with Social Media Management, Brand Support, Digital Publishing Services, Marketing Automation, Copywriting and Creative Design...

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• Technical leadership and mentoring of data engineers
• Technical oversight for Databricks solutions
• Design and implementation of scalable ETL/ELT pipelines using Databricks, Python/PySpark, SQL, and Delta Lake

• Design and deliver technical trainings, workshops and enablement sessions for customers, partners and internal teams
• Explain complex cloud architectures, concepts and T Cloud Public services in a clear and structured way
• Develop and maintain training materials, hands-on labs and certification content

• Design, deploy, and manage scalable cloud and hybrid infrastructure environments with a primary focus on automation, reliability, and security
• Build and maintain Infrastructure-as-Code solutions using Terraform and other automation tools to provision and manage AWS and on-premises resources

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Design and implementation of enterprise-scale data pipelines and advanced analytics dashboards
• Development and optimization of data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms