• Be at the forefront of the energy transition as an Advanced Manufacturing Engineer (AME) for Blades. • Manage factory processes and engineer sustainable energy solutions. • Translate breakthrough manufacturing concepts into robust, industrialized realities. • Partner across the global GE Vernova organization to drive technologies that optimize SQDC (Safety, Quality, Delivery, Cost). • Design, specify, and implement advanced processes and materials to scale new manufacturing technologies from pilot to shop-floor reality. • Leverage data-driven insights and Industry 4.0 solutions to monitor and optimize process performance. • Own the technical implementation of automation, robotics, and complex process solutions. • Develop global process standards, control plans, and training modules to ensure consistency across the global supply chain. • Act as a bridge between R&D, Engineering, and Operations, aligning stakeholders on complex technical roadmaps and change management initiatives.

• Collaborating effectively across software portfolio of products deployed in field, edge and customer IT/OT environments globally • Facilitate and drive architectural strategy and hands on activities across GridOS Plan product lines • Lead technical vision and strategy, planning and execution of best practices • Architect Cloud-Native Applications: Design and evolve distributed systems using micro-services, containers, Kubernetes, serverless, and modern DevOps practices • Mentor Senior Architects and Engineers, providing technical leadership, coaching, and architectural guidance across multiple teams

• Develop and maintain frontend and backend systems for content proofing: design, implement, and enhance applications and APIs using Node.js, TypeScript, and Python. • Improve interface and UX: contribute to improving the user experience by increasing engagement, reducing bounce rates, and improving user satisfaction scores. • Database management: work with MySQL and DynamoDB to design and optimize data models, ensuring data integrity and performance—primarily for simulated data while preparing for future real integrations. • AWS cloud infrastructure: use AWS Lambda and other serverless technologies to build and deploy scalable, cost-effective solutions. • Collaboration: partner closely with frontend developers, DevOps, and the wider team to ensure smooth integration and functionality through code reviews, pair programming, and technical documentation as needed. • Testing and quality assurance: develop unit and integration tests focused on the user journey.

• Be the primary development and support for Data Services offerings. • Design and implement REST APIs • Learn our cloud-based application and our human business process. • Reduce risk by identifying a portion of the application code that can modularized into its own service; set up an API between that service and the main application. • Convert product backlog into implemented features. • Support Data Services clients with sandbox configuration and access, configuration of data services, custom integration activities, and validating data and software integrity • Ability to manage project activities – including supporting client integration scoping to deployment of customized software, APIs and services.