Python developer állások VI. kerületben (projektmenedzsment)

• Support improvements to reliability, availability, performance and scalability of the bp pulse EV charging network, technology stack and services
• Support incident response, root-cause analysis and continuous improvement activities to enhance system resilience

• Improve the reliability, availability, performance and scalability of the bp pulse EV charging network, technology stack and services
• Support incident response, root-cause analysis and continuous improvement activities to enhance system resilience

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Designing and building multi-agent (agent-to-agent) solutions in which agents hand work to each other, review it and escalate to a human when needed

• Participating in the design and development of low-level software to integrate new Arm architecture features across Linux, Android, and related userspace components
• Architecting, developing, and optimizing core OS subsystems with a focus on performance, power efficiency, and security

Taking ownership of delivering agentic solutions across multiple client deployments, guiding them from initial prototypes and onboarding through to stable adoption and scaled use...

• 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

• Delivering software releases on schedule with defined scope and quality and transitioning to continuous delivery
• Ensuring reliable operation of the CI/CD pipelines and improving their efficiency
• Contributing to the test strategy and coordinating its execution

• Üzleti igények összegyűjtése és elemzése, közvetítésük az IT csapat felé
• IT rendszerek és szoftverek elemzése, fejlesztési igények meghatározása
• Funkcionális és technikai specifikációk készítése, amelyeket az IT csapat és a fejlesztők használnak a megoldások tervezése során

Architecting and implementing scalable AI/ML solutions on Azure (preferred) or GCP, leveraging services such as Azure Databricks, Azure ML Studio, Data Lake Storage, Event Hubs and Functions (or GCP equivalents)...