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• 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

• Design and develop target application architectures aligned with business and IT strategy.
• Lead modernization initiatives for legacy applications and support their transition to modern cloud-based environments.
• Define architectural standards, design principles, and technology roadmaps.

• Design and implementation of web user interfaces using Angular and TypeScript.
• Independent development of clean, reusable UI components based on rds-ng libraries.
• Integration of backend services through generated API clients (OpenAPI/TypeScript, contract-first approach).

• Own Salesforce Marketing Cloud end-to-end, including platform operations, governance, roadmap planning and quality management.
• Ensure GDPR-compliant processes by collaborating with Privacy teams and relevant stakeholders.

• Pénzügyi adatok SAP rendszerbe történő migrációjának teljes körű end-to-end irányítása és hands-on végrehajtása
• ETL folyamatok koordinálása és operatív végrehajtása
• Migrációs templatek elkészítése, kitöltése és karbantartása

Review business requirements and ensure alignment with end-to-end customer journeys, translating needs into user stories, technical specifications and architecture designs....

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• ServiceNow megoldások tervezése megfelelve üzleti, funkcionális és megfelelőségi követelményeknek
• Szoros együttműködés a Scrum csapattal backlog elemek átdolgozása, követelmények tisztázása és pontos becslések készítése érdekében

• 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

• Leading a small, senior engineering team building production LLM systems
• Shaping the technical vision for AI at Wise including architecture, evaluation, and integration of latest research into production
• Partnering closely with embedded Data Science, PM, Analyst and Prompt Engineering functions

Own end-to-end design projects, delivering comprehensive solutions from user requirements and information architecture to task flows, wireframes, and high-fidelity, production-ready interfaces....

• Implementation, support, and optimization of SAP GTS solutions in international client environments
• Provision of expertise in SAP GTS Compliance Management and Customs Management processes
• Support of international rollout programs, cutover activities, and go-live phases

• fontos szerep a szoftverfejlesztő csapat munkájában,
• hozzájárulás az IT rendszerek továbbfejlesztési projektjeihez,
• aktív részvétel a cég egyik core rendszerének továbbfejlesztésében,
• specifikáció alapján történő fejlesztés,
• részfeladatok önálló megvalósítása, dokumentálása.

• Architectural design across tracking, auto-officiating and data delivery
• Setting initial architecture for new tracking problems
• Running the Software Domain Owner model for shared libraries
• Maintaining design consistency across sports
• Representing tracking in the Engineering Architecture Steering group

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems
• Delivering tangible impact by securing customers' money
• Accelerating product growth by raising automation levels

• Deployment and scaling of EcliptOS platform
• Ownership of EcliptOS platform delivery lifecycle
• Deployment and configuration of production-grade systems across cloud and hybrid infrastructures
• Validation of performance and stability of deployed systems
• Ensuring structured handovers for long-term success

• Ownership and evolution of Cypress and TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• Building, operating and improving production data pipelines using Python, Airflow, Kubernetes and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Development of a robust framework for generating and distributing work across all operations
• Creation of tools and frameworks for teams to design specific workflows
• Establishment of a comprehensive reference for a 360-degree view of customer data

• Operate, govern, secure, and continuously improve the Azure Databricks platform, ensuring reliability, scalability, security, and cost efficiency.
• Manage Databricks workspaces, environments, account-level settings, identities, and platform access controls.