Lead Software Engineer

Enoda

City of Edinburgh

On-site

GBP 80,000 - 95,000

Full time

7 days ago

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Benefits offered by this job

Private Medical Insurance

Flexible Pension policy

33 days annual leave

Season travel ticket loan

Job summary

ENODA is seeking an experienced Lead Software Engineer to shape the next generation of the energy grid platform from Edinburgh, Scotland. You will design and implement high-performance back-end APIs, services and computational engines such as simulation, optimization, or digital twin, ensuring scalability and reliability across the system.

You will mentor engineers, collaborate with data, hardware, and operations teams, and drive robust, observable software in mission-critical infrastructure

Qualifications

Proven experience designing and implementing computational engines (simulation, optimisation, or AI/ML).
Experience building large-scale modular architectures for modelling, simulation, optimisation, or similar.
Strong knowledge of mathematical modelling, ETL-like workflows, and algorithms in energy systems or similar fields.
Awareness of hardware-software integration, control systems, and virtualization for testing against live data.
Skilled in building reliable interfaces, APIs, and integration layers between engines, UI frameworks, and cloud platforms.
Familiarity with multi-environment deployment, edge computing, and orchestration frameworks (e.g. Kubernetes).
Ability to build robust, observable, and secure software for mission-critical infrastructure.
Demonstrated ability to mentor engineers, lead design reviews, and communicate across multidisciplinary teams.
Excellent analytical ability balancing model fidelity, computation performance, and maintainability.
Advantageous: familiarity with electrical network modelling or energy markets/dispatch.

Responsibilities

Design and evolve ENODA's software platform for monitoring, control, dispatch, and analytics of the energy grid.
Build high-performance APIs, services, and computational engines (simulation, optimisation, digital twin).
Ensure reliability, scalability, and maintainability across the platform.
Mentor engineers and lead design reviews across software, data, analytics, and operations teams.
Collaborate with hardware, UI, and cloud teams to deliver deterministic, low-latency integrations.
Promote secure, observable software suitable for mission-critical infrastructure and hybrid deployments.

Skills

Computational engines

Back-end services

C++/Rust/Python

APIs & integration

High-performance computing

Software architectures

Cybersecurity practices

Team mentoring

Edge computing

Kubernetes

Tools

Git

CI/CD

Kubernetes

Job description

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