Lead Software Engineer, Energy Grid AI & Simulation

ENODA Ltd

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
33 days annual leave
Dental cash-back
Cycle-to-Work
Season travel ticket loan
Enhanced sick pay & Income Protection
Life Assurance

Job summary

ENODA Ltd is looking for an experienced Lead Software Engineer to drive the evolution of our energy grid software stack. You will architect and implement high-performance APIs, services and computational engines, ensuring reliability and scalability for critical infrastructure.

You will operate at the intersection of software, data, and operations, mentoring engineers and leading design reviews across multiple workstreams to optimize grid visibility, capacity planning, and dispatch.

Qualifications

  • Proven experience designing computational engines (simulation, optimisation, AI/ML).
  • Experience building large-scale modular software architectures.
  • Strong knowledge of energy systems modelling and dynamic simulation.
  • Experience mentoring engineers and leading design reviews.

Responsibilities

  • Build and evolve software for monitoring, control, dispatch, and analytics of the energy grid.
  • Design and implement high-performance APIs, services, and engines (simulation, dispatch optimisation, digital twin).
  • Ensure reliability, scalability, and maintainability across the platform.
  • Lead workstreams within platform teams and mentor engineers.

Skills

C++
Python
Rust
Backend services
APIs
Distributed systems
Cybersecurity
Mentoring

Tools

Kubernetes
Containers
Git
CI/CD

Job description

ENODA Ltd is looking for an experienced Lead Software Engineer to drive the evolution of our energy grid software stack. You will architect and implement high-performance APIs, services and computational engines, ensuring reliability and scalability for critical infrastructure.

You will operate at the intersection of software, data, and operations, mentoring engineers and leading design reviews across multiple workstreams to optimize grid visibility, capacity planning, and dispatch.

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