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• 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

• Providing expert assistance in diagnosis of complex technical issues
• Supporting dealer network with quick solution finding of technical product issues
• Working closely with technicians of workshops and dealerships
• Supporting with repair instructions via specified communication channels

• Integration delivery management
• Translation of business needs into technical requirements
• Stakeholder coordination
• Integration issue troubleshooting
• Integration documentation maintenance
• Live integration monitoring
• Partner performance and opportunity analysis
• Support for commercial partnership work

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Gather business and IT requirements across telecom data, DWH, and reporting domains
• Create and refine requirements, user stories, acceptance criteria, and functional specifications
• Support prioritization
• Analyze existing DWH, BI, and reporting processes

• Leading SAP S/4HANA Public Cloud implementation projects from initiation through go-live and hypercare
• Managing project scope, timelines, budgets, risks, and dependencies
• Coordinating multidisciplinary teams across business and technology functions

• Building and working own pipeline including research, outreach, and qualification
• Meeting prospects through discovery calls, conferences, roadshows, and expos
• Listening for real problems and shaping them into opportunities suitable for NIX
• Nurturing and growing existing accounts alongside new logos

• Selling complex service-based solutions across Big Data, Cyber Security, Salesforce, and broader IT service portfolios
• Identifying client business challenges and translating them into tailored solution proposals and value propositions

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Design and evolve AWS-based cloud platforms and infrastructure environments
• Support cloud migration and modernization initiatives
• Work with client architecture, engineering and security teams to define practical cloud solutions

• Design and evolve cloud environments across AWS, Azure and GCP
• Work on cloud migration, modernization and platform improvement initiatives
• Support cloud cost visibility, transparency and governance activities
• Identify opportunities to improve cloud efficiency, utilization and spending

Design of custom objects, custom fields, pick list, role based page layouts, workflow alerts and actions, validation rules, approval processes, custom tabs, custom reports, report folders, report extractions to various formats, design of Visualforce pages, record types, dashboards, and email...

• Design landing zones, network topology (hub-spoke, transit gateway), and identity/federation models across AWS, Azure, and/or GCP
• Define infrastructure-as-code patterns (Terraform, Bicep/ARM, CloudFormation, or Pulumi) that other teams build on
• Design for HA/DR, resilience, and multi-region setups

• Administration, configuration and maintenance of Microsoft Dynamics 365 Business Central and Dynamics 365 CRM platforms
• Collaboration with various departments to gather business requirements and deliver tailored Dynamics 365 solutions

• End-to-end penetration testing engagements across web applications, APIs, cloud environments, kubernets, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks before they become threats

• End-to-end management of modern data platform implementations built on Databricks
• Running all scrum ceremonies for data engineering and data science teams
• Tracking budgets and optimizing compute costs
• Managing technical risks such as data quality and pipeline bottlenecks