Lead Network Automation Engineer - Hybrid (London)

Lead Network Automation Engineer - Hybrid (London)

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Hamilton Barnes

At a Glance

  • Tasks: Develop and maintain network automation solutions using Python and Ansible.
  • Company: Hamilton Barnes, a leader in network automation solutions.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with enterprise clients in a fast-paced environment.
  • Why this job: Join a dynamic team and make a real impact on enterprise automation projects.
  • Qualifications: Strong networking background and hands-on experience with Ansible.

The predicted salary is between 60000 - 80000 Β£ per year.

Hamilton Barnes is seeking a Network Automation Engineer in London to develop and maintain network automation solutions using Python and Ansible.

You will work with enterprise clients on automation projects, building scalable scripts and playbooks to improve deployment efficiency in mixed on-site and remote environments.

The role requires strong networking background and hands-on Ansible experience, with excellent troubleshooting and stakeholder communication skills.

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Lead Network Automation Engineer - Hybrid (London) employer: Hamilton Barnes

Hamilton Barnes is an exceptional employer, offering a dynamic work environment in London where innovation meets opportunity. With competitive salaries, night shift allowances, and a strong focus on employee development through ongoing training, we empower our Field Service Engineers to advance their careers while enjoying a supportive team culture. Join us to be part of a growing engineering team that values your skills and fosters professional growth.

Hamilton Barnes

Contact Details:

Hamilton Barnes Recruitment Team

We think you need these skills to ace Lead Network Automation Engineer - Hybrid (London)

Network Automation
Python
Ansible
Troubleshooting Skills
Stakeholder Communication
Scripting
Deployment Efficiency