Work directly with business stakeholders to understand requirements, assess reported issues and translate operational needs into technical improvements.
Define the middleware architecture, including interface abstractions, data models, message formats, protocol handling, error handling, logging, configuration, and service lifecycle management.
Define the middleware architecture, including interface abstractions, data models, message formats, protocol handling, error handling, logging, configuration, and service lifecycle management.
Work closely with the SPEED architect, quantitative researchers, and the business to provide high ROI solutions that are aligned with both the business and the platform strategy.
· Responsible for upper-level software development of automation equipment, industrial control system development, functionality enhancement, and system performance optimization.
AI Tool Development: Assist in designing and developing AI-powered tools to support project management activities such as resource estimation, sprint planning, and schedule generation using Large Language Models (LLMs) such as Copilot, AWS Bedrock, or internal AI platforms.