Pop hands cnc javascript jquery állások II. kerületben (it programozás, fejlesztés)

• Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
• Build and optimize high‑performance data models for analytics
• Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end

• 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).

• Design and develop Python SDKs and related packages
• Contribute to the integration between a data platform and the Python ecosystem
• Build solutions for data integration and model interoperability
• Improve developer experience for Python users

• Build-from-zero applications
• Bridge machine learning and product
• AI-accelerated development
• Real-time visualization
• End-to-end delivery of early-stage applications

• 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.

• Leading a global engineering organization across several teams and products within a business domain
• Setting the technical and organizational strategy
• Accountability for delivery, reliability, security, and overall performance of the organization

• Contribution to Customer Platform team
• Delivery of high-quality NodeJS, TypeScript and React code with simplicity, performance, and scalability
• Design and implementation of client and database-related application features

Agentic AI development: Design and implement autonomous and semi-autonomous AI workflows, including planning, task execution, tool integration, context management, and fault recovery....

• Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads
• Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations

• Embedding in the daily life of up to three engineering teams: Customer Platform and Scoring
• Ensuring technical design alignment with SEON's architectural best-practices
• Ensuring security, scalability, and compliance in technical designs

• Technical leadership in Unreal-powered graphics pipeline development
• Mentoring junior engineers
• Collaboration with cross-functional teams
• Development and optimisation of AR/VR and backend graphics solutions
• Integration with in-house art assets
• Bug fixing and core functionality implementation

• Writing and maintaining clean, high-quality, and efficient code aligned with project specifications using AI tools daily to accelerate delivery
• Executing comprehensive testing and seamless deployment of programs and systems
• Communicating technical information clearly and effectively with team members

• Leading and developing the three-person QC function including workload planning, prioritization and performance management
• Defining daily and weekly QC priorities based on project deadlines, production capacity and quality risk

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Supporting the development of a stable and scalable Kotlin and Spring Boot back-end from the ground up
• Crafting code that adheres to the highest industry standards while ensuring seamless integration with our Cl tools

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Contribution to successful delivery of client engagements focused on banking strategy and innovation
• Crafting long-term strategies
• Identification of new growth opportunities within and beyond clients' core businesses
• Building digital enterprises

• 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

• 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.