Python developer állások Martonvásárban (programozó, fejlesztő)

• Saját fejlesztésű alkalmazások továbbfejlesztése és support tevékenységek ellátása (PHP, PostgreSQL, HTML – túlnyomóan back-end)
• Új alkalmazások, integrációs megoldások és interfészek fejlesztése, üzemeltetése és specifikációjának elkészítése.

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including Full-stack, AI, and Data

• Design assays for custom targeted sequencing panels for external and internal researchers
• Understanding key scientific questions and translating them into effective assay design strategies
• Partnering with external customers to understand project requirements and deliver high-quality design solutions

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Development and optimization of algorithmic trading systems
• Writing clean, high-performance code in C++ or Rust
• Collaboration with engineers and quants to deliver robust, scalable trading infrastructure
• Contribution using Python for scripting or tooling tasks

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

Performing tasks related to the position....

• Defining the vision and strategy for the future-state digital supply chain ecosystem
• Curating the technology stack through selection and integration of modern tools at the crossroads of artificial intelligence and automated workflows

• Design and maintain comprehensive information landscape and streamline information flows for MRHub
• Establish and enforce standards and governance for information objects in partnership with Data Engineering Lead

• Driving data integration and data fabric adoption across domains
• Ensuring best practices and supporting organization-wide standards for data quality, governance, security, and observability
• Acting as a technical subject matter expert and mentoring Senior and Staff Engineers

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

Provision of a full range of engineering and technical services on large and/or complex projects to analyze and prepare files for efficient and high-quality translations and implementation...

• Development and maintenance of bioinformatics applications and computational tools
• Implementation and improvement of automated workflows for next-generation sequencing data processing and analysis

• Definition of frontend architecture, component library strategy, and design system adoption across product teams
• Design and delivery of AI-enabled user experiences using React/Next.js, TypeScript, Python APIs, and FastAPI services

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

Work with Android source code and build system synchronization, branch and patch management, third-party component integration, and build issue resolution...

• Design production data pipelines using PySpark, Python, advanced SQL, and AWS data services
• Build production data pipelines using PySpark, Python, advanced SQL, and AWS data services
• Test production data pipelines using PySpark, Python, advanced SQL, and AWS data services

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including Full-stack, AI, and Data

• Delivery of complex data engineering projects
• Leading small delivery teams
• Management of customer relationships
• Supporting pre-sales processes
• Mentoring junior engineers
• Contributing to hiring data talent

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions