Programmer állások VI. kerületben középiskolai végzettséggel

• 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

• Risk classification and residual risk handoff for application domain
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation partnership
• Design and implementation of compensating controls for vulnerabilities

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaborate with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions
• Optimize microservice ecosystem for performance, reliability, and observability

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• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Turning data science and AI experiments into production-ready, scalable solutions
• Developing and deploying Generative AI solutions including LLMs and Diffusion Models
• Designing and implementing data models and flows including ETL, embedding models and vector databases

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Active involvement in the software design and test of reference application processor firmware
• Low level software development, test and debug on various platforms including software models, development boards and shipping products

• Driving technical excellence in products
• Facilitating technical design, decisions, troubleshooting and delivery
• Supporting managers in building world class engineering teams
• Researching new technologies
• Leading technical investigations and developing POCs

• Writing and maintaining clean, high-quality, and efficient code that aligns with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems

• Driving technical excellence in products
• Facilitating technical design, decisions, troubleshooting and delivery
• Supporting managers in building world class engineering teams
• Proactively researching new technologies
• Leading technical investigations and developing POCs

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions deployed in products, particularly major open-source projects such as Linux

• Setting up and maintaining databases for payment systems
• Maintaining, monitoring and supporting production and development of databases and environments
• Monitoring and troubleshooting database integrity, performance, blocking and deadlock, replication/log shipping, connectivity, and security issues

• Preparation for containerization
• Increasing scalability of systems
• Maintaining high quality of systems
• Re-evaluating systems design
• Developing new features
• Building a scalable, multi-brand gaming platform

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• 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

• Assisting with latest projects
• Working with source code and applying development processes
• Attending online brainstorming sessions regularly
• Learning best practices and key technologies to quickly become productive

• Support in development, quality assurance and product management
• Working closely with team members to ensure successful project completion and roll-out services support
• Enabling continuous improvement support
• Vacation planning of direct reports