Fluence (Nasdaq: FLNC) is a global market leader delivering intelligent energy storage and optimization software for renewables and storage. Our solutions and operational services are helping to create a more resilient grid and unlock the full potential of renewable portfolios. With gigawatts of successful implementations across nearly 50 markets, we are transforming the way we power our world for a more sustainable future.
About the Role
As a Senior Optimization Engineer, you will provide technical leadership and collaborate with cross-functional teams to enhance and guide our market-leading optimization and bidding product, Mosaic, which is designed for renewable energy and battery storage assets in electricity markets across the globe.
Responsibilities
Optimization Model Development: Translate market rules into asset scheduling and dispatch optimization models, ensuring compliance and efficiency in bidding and dispatch operations.
Forecast Integration: Partner with the Forecasting team to define requirements for generating probabilistic Energy, Ancillary Service, and other electricity market price forecasts, integrating them seamlessly into optimization workflows.
Data Preparation and Integration: Develop processes to read and transform market data and asset information into formats suitable for optimization models and ensure that optimization outputs are transformed and stored according to database schemas.
Optimization Performance Analysis: Conduct in-depth analysis of daily optimization results to identify potential enhancements in algorithmic strategies.
Platform Improvement: Collaborate with other Optimization Engineers to continuously enhance and maintain Fluence’s Mosaic market bidding platform for battery storage and renewable assets in global electricity markets.
Software Development Best Practices: Evangelize and implement software development best practices, including version control, CI/CD, and testing frameworks, to improve the scalability and maintainability of optimization applications.
Model Deployment: Create, deploy, and optimize containerized solutions for scalable optimization environments.
Infrastructure and Automation: Design and implement CI/CD pipelines for automated model and code deployment, ensuring reliable and repeatable workflows for testing and production rollouts.
Performance Optimization: Monitor and adjust deployed models and workflows to ensure reliability, scalability, and performance, making incremental improvements as needed.
Collaboration and Integration: Work closely with cross-functional teams, including data scientists, engineers, and product stakeholders, to integrate optimization systems effectively into broader applications.
Team Leadership and Culture: Model and cultivate a culture of inclusivity, trust, exceptional communication, collaboration, respect, continuous learning, and enthusiasm for innovation and problem-solving.