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• Formulate, evangelise, and drive adoption of the product security strategy
• Assess, advise on, and increase the security maturity posture
• Create a standardised security architecture and operational best practices
• Help track and drive remediation of security and technology risks

Execute and maintain manual and automated test cases based on specifications, including creating test data, updating test steps, and documenting results....

• Daily design tasks for a variety of projects
• Project leadership and reporting to the Lead Designer
• Turning stakeholder goals and user research into wireframes
• Simplifying complex user flows into intuitive interfaces
• Interaction design including mapping user flows and prototyping interactions

• Design, build, and maintain modern web applications across the full stack
• Develop rapid prototypes and proof-of-concepts to validate business ideas
• Build AI-powered applications using modern LLM technologies, APIs, and cloud services

• Tesztelési folyamatok tervezése és koordinálása
• Tesztelői csapat munkájának irányítása és támogatása
• Kapcsolattartás fejlesztőkkel és más érintettekkel
• Teszteredmények elemzése és riportálása vezetőség felé
• Tesztelési dokumentációk elkészítése és karbantartása
• Tesztesetek leszállítása és felügyelete

• Leading a project team in delivering a solution to the customer using appropriate business measurements and terms and conditions for the project
• Understanding of products’ functionality and knowledge of related banking areas’ operation

• Tech Stack: Python (Django/FastAPI), PostgreSQL/TimescaleDB, Redis, Celery, Docker, AWS, GitLab CI/CD, Sentry, Grafana
• Your Focus: API design & architecture, backend integrations, data flows, system reliability and scalability

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

End-to-end build-out of the COO data warehouse – from data modeling and pipeline development to the integration of relevant source systems and the delivery of usable data products...

• Lead and manage the full lifecycle of software development projects from initiation to delivery
• Develop and maintain project plans and schedules
• Coordinate cross-functional teams including developers, designers, and QA engineers
• Manage project scope, resources, and timelines to ensure on-time delivery

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Collaboration with architects to align and implement architecture direction
• Alignment with other tech leads to ensure technical consistency

• Design and development of frameworks and guardrails for ML solutions and products
• Staying updated on industry trends, emerging technologies, and best practices to inform strategy development and ensure competitiveness

• Development and maintenance of the data platform’s infrastructure using Terraform
• Implementation and management of CI/CD pipelines for automation of data and AI processes and pipelines
• Automation of provisioning, configuration, and monitoring of resources in AWS

• Üzleti probléma és megoldás teljes körű megértése
• BRS véleményezése
• BRS jóváhagyása
• IT megoldás magas- és mélyszintű tervezése
• Funkcionális tervezés
• Architektúrális tervezés
• Rendszer szintű SRS dokumentációk készítése
• SRS dokumentációk véleményezése

• Sérülékenységek keresése Windowsban és asztali alkalmazásokban
• Folyamat dokumentálása a kutatás során
• Patch diffing készítése BinDiffel

• Komplex rendszer fejlesztése
• Webes alkalmazások lekérdezéséhez tartozó fejlesztői feladatok

Plan and manage change and enablement initiatives to effectively drive the transformation of support, service delivery, and IT operations teams across the organization...

Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams...

• Designing, implementing, testing, and optimizing reliable, efficient, and high-quality data pipelines
• Automating the extraction, loading and transformation of data from a wide variety of sources
• Developing solutions for the automated acquisition of data from source systems

Drive Fast Time-to-Market (TTM): Work collaboratively with relevant stakeholders (Data Science, Machine Learning Engineering, etc.) to iterate quickly on prototypes, ensuring a seamless and rapid transition of validated models and LLM applications into the production environment....