Lead Software Engineer

ENODA’s world-class team is building the first truly decentralized, intelligent energy system that will reshape how we generate, store, and distribute energy. Foundational to our holistic and integrated platform approach, the Enoda PRIME® Exchanger is first-of-a-kind dynamic power flow hardware designed to maintain “on-target” frequency and voltage, increasing grid efficiency and capacity for distributed energy sources like renewables and EVs. Enoda ENSEMBLE™ is our ecosystem co-ordinator of ENODA and third-party assets, able to forecast, aggregate, and bid capacity in real time, functioning as a networked “operating system” for the electrical grid.

We have a number of opportunities for experienced Lead Software Engineers, or Senior Software Engineers with 3+ years at senior level, to join our business as we continue to scale. The Lead Software Engineer will play a key role in the Software team, responsible for building and evolving ENODA's software solution for monitoring, control, dispatch, and advanced analytics of the energy grid. This role sits at the intersection of software engineering, data engineering, and operational technology, and requires a strong understanding of backend application development and distributed systems.

You will design and implement high-performance APIs, services, and computational engines such as simulation, dispatch optimisation, or digital twin, ensuring reliability, scalability, and maintainability across the platform. Success in this position requires confidence in designing robust systems, building reliable integrations between services, and contributing to a platform that prioritises performance, resilience, and long-term maintainability.

We are hiring a number of technical leads to support the workstreams of our platform. Based on your strengths and our priorities, you will be matched to the workstream that fits you best:

• Grid Visibility and Insight, which is responsible for the live operational awareness for operator.
• Capacity Intelligence and Planning, where forecasting, hosting capacity and scenario/planning evaluate Enoda PRIME® Exchanger behaviour and network impact, at accuracy and scale.
• Flexibility Orchestration, responsible for the optimisation and dispatch of energy assets such the Enoda PRIME® Exchanger, BESS and any other systems.

All workstreams are software-led, computationally intensive, and operate in critical-infrastructure contexts.

Qualifications

• Proven experience designing and implementing computational engines (simulation, optimisation, or AI/ML), data-processing systems, and backend services in C++, Rust and/or Python, with a strong emphasis on computational efficiency and scalability.
• Expertise in developing large-scale, modular software architectures for modelling, simulation, optimisation, or equivalent computational domains.
• Strong grasp of mathematical modelling, ETL-like workflows, and algorithms (e.g. steady-state and dynamic simulation, numerical optimisation, or applied ML) in energy systems or similar fields.
• Awareness of hardware-software integration, control systems, and virtualisation for testing and validating outputs against live data from physical devices.
• Skilled in building reliable interfaces, APIs, and integration layers between computational engines, UI frameworks, and cloud platforms, ensuring deterministic behaviour and low-latency communication.
• Familiarity with multi-environment deployment, edge computing, containerised services, and orchestration frameworks (e.g. Kubernetes), to support hybrid deployment contexts.
• Ability to build robust, observable, and secure software suitable for mission-critical infrastructure, with proficiency in logging, monitoring, and fault tolerance.
• Strong understanding of cybersecurity practices in design and deployment, particularly for critical infrastructure and ISO-compliant environments.
• Demonstrated ability to mentor engineers, lead design reviews, and communicate effectively across multidisciplinary teams (software, hardware, analytics, and operations).
• Excellent analytical ability with the capacity to balance model fidelity, computational performance, and maintainability in a commercial-grade product context.

The following would be advantageous:

• Familiarity with electrical network modelling, load-flow analysis, energy markets/dispatch, or SCADA-related concepts to align outputs with real-world grid behaviour.
• Experience with profiling tools and techniques for high-performance computing (HPC) to optimize simulation runtimes and memory usage.
• Ability to design and implement automated testing strategies for computational engines, including regression tests and hardware-in-the-loop validation.
• Proficiency with Git, continuous integration, and automated deployment pipelines tailored for performance-sensitive, multi-module codebases.
• Experience integrating or enabling visualization of simulation results for engineers and operators through dashboards or analytical interfaces.

Additional Information

• Highly competitive salary approx. £80K - £95K aligned with skills & experience.
• Private Medical Insurance.
• Flexible Pension policy tailored to your requirements.
• 33 days annual leave + Holiday purchase/sell scheme.
• Season travel ticket loan.
• Enhanced company sick pay & Income Protection.
• Life Assurance.