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Lead the end-to-end design and evolution of our next-generation energy technology platform
Define and own the system architecture across edge devices and cloud, ensuring it is secure, scalable, standards-compliant, and future-proof
Translate complex energy system requirements into robust, production-ready solutions
Design architectures that reliably support tens of thousands of distributed industrial devices
Integrate real-time system within built environment and industrial set up with advanced connectivity (MQTT, OPC-UA / IEC 62541) and cloud-native data platforms
Develop Edge-AI control models and translate them into production systems across both edge and cloud environments
Set architectural direction while actively guiding firmware, hardware, and cloud implementation across teams
Prioritise secure, standards-compliant, and future-proof systems that can scale, adapt, and operate globally over time
Requirements
7+ years of experience in systems architecture, on-site controllers, or IIoT platforms
In-depth experience in designing, testing, or installing control interfaces for at least one of these commercial or industrial asset categories: Battery BESS inverters, HVAC systems, heat pumps, and thermal storage utilising IIOT controllers, PLCs, RTUs, or Building Management Systems (BMS/BEMS)
Strong domain background in energy systems, industrial automation, HVAC automation or similar industries
Deep knowledge in any of the industrial communication protocols (Modbus, BACnet, OPCC, MQTT, OPC-UA,)
Strong understanding of networking and secure communications
Experience with IEC 61131-3 (industrial automation programming)
Proficiency in at least one of the programming languages: C, C++, Go, or Python
Strong experience with embedded Linux, real-time systems, and controller design
Deep expertise in time-series data systems (e.g. Postgres, InfluxDB)
Experience building data ingestion pipelines and streaming architectures
Solid understanding of microservices, containers, and distributed system design
Clear communication skills across technical and non-technical stakeholders
Comfortable working in fast-paced, startup environments
Able to travel to customer or manufacturer locations within the UK, EU, or internationally at short notice
Demonstrated interest in energy transition, sustainability, or emerging technologies
UK-based – we are not sponsoring visas at this time and will be looking to collaborate in-person at least once per month
Nice to have
Experience building and validating models using MATLAB/Simulink or Python scientific stacks and have the ability to translate models into production-grade code
Experience in energy optimisation, DERs (Distributed Energy Resources), or grid systems
Familiar with MD – Capacity charges, Export limitation and G99 requirements
Familiar with NIS Directive and Secure by Design principles
Knowledge of AI/ML applications / Edge-AI in energy systems
Prior experience scaling global IIoT deployments
What we offer
Remote-first with occasional travel to London/Cambridge for team meetings
Travel to customer or manufacturer locations within the UK, EU, or internationally
Co-working support – Eagle Labs membership for Cambridge-based hires (other locations TBD)
Competitive salary + share options – negotiable depending on cash vs equity preference
As a founding member, you will have influence in shaping future benefits + leave