EV CPMS Network Engineer – Automation & Uptime Lead

Envevo; Harrogate; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Hybrid & Flexible Working

35 Days Annual Leave

Travel & Subsistence

Company Performance Bonus

Bupa Healthcare

Salary Sacrifice Pension Scheme

EV Car Salary Sacrifice Scheme

Holiday Purchase Scheme

Enhanced Family-Friendly Policies

4pm Finish on Fridays

Bellshill On‑Site Gym

Benefits & Discounts Platform

Long Service Awards

Job summary

Envevo is seeking a Network Engineer to own the CPMS platform and the wider EV charging infrastructure. You will monitor performance, diagnose issues remotely, and liaise with clients, OEMs, and internal teams in a hybrid working environment.

This fixed-term role suits an experienced professional who thrives on autonomous problem solving, system automation, and continuous improvement of processes across the estate.

Qualifications

• Bachelor's degree in Network Engineering, Computer Science, IT, Electrical Engineering, or related discipline or equivalent practical experience.
• ITIL Foundation or service management awareness is beneficial.
• Experience with APIs or system integrations and cloud platforms.

Responsibilities

• Take ownership of the CPMS platform and wider EV charging infrastructure network.
• Monitor, manage, and optimise performance to ensure maximum uptime.
• Diagnose faults remotely and perform root-cause analysis.
• Coordinate with clients, OEM partners, and engineering teams.
• Develop, document and improve operational processes and workflows.

Skills

Network engineering

Cloud platforms

API design

TCP/IP

Remote diagnostics

Documentation

Education

Bachelor's degree in relevant field

Tools

Networking hardware

Job description

Envevo is seeking a Network Engineer to own the CPMS platform and the wider EV charging infrastructure. You will monitor performance, diagnose issues remotely, and liaise with clients, OEMs, and internal teams in a hybrid working environment.

This fixed-term role suits an experienced professional who thrives on autonomous problem solving, system automation, and continuous improvement of processes across the estate.