Head of Engineering - Optimisation & Control

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Help us use technology to make a big green dent in the universe! Kraken powers some of the most innovative global developments in energy. We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide. It’s an incredibly exciting time to work in energy.

Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone. 🏡 Where you'll fit in: KrakenFlex is the flexibility arm of the Kraken group, built to put a big green dent in global carbon emissions by rewriting how electricity grids operate. We stabilize the grid and help renewables come online much faster by managing the second-by-second balance of clean power.

Right now, our platform connects nearly one million assets worldwide, putting over 6GW of live load under our direct control. Behind the scenes, that means handling massive technical scale: solving complex optimization problems in real time and processing 15 billion data readings a day from the latest green technologies, ensuring the grid stays reliable without relying on old fossil-fuel backup plants. The next phase of our journey involves monumental growth.

Currently operational across multiple countries, we are poised for further global expansion, scaling our asset base and tackling unique grid challenges in new territories. Our mission is to integrate an increasingly diverse array of green flexibility assets while ensuring our market-leading platform remains exceptionally stable and performant. What is Optimisation in Flex? The Optimisation chapter is the mathematical and algorithmic engine of the KrakenFlex platform.

While other chapters manage physical asset connectivity or ingest market signals, this domain is responsible for the intelligence that decides exactly what every asset should do, second by second, to maximise both grid stability and financial returns. The teams within this chapter build and maintain the real-time dispatch engines, predictive forecasting models, and algorithmic solvers that handle massive multi-asset portfolios.

This involves translating complex market rules, physical asset constraints (like battery degradation curves, state-of-charge limits, and ramp rates), and fluctuating price signals into optimised execution s