Remote

Technology

DevOps Engineer- GCP / GKE / SC Cleared - UK Remote

Opus Recruitment Solutionscentral london / west end, london🇬🇧United KingdomPosted 7 Aug 2026

Why This Role Stands Out

This remote DevOps Engineer role offers you the chance to work on a groundbreaking project within the defense sector, leveraging your expertise in GCP, GKE, and Terraform to drive innovation in AI and MLOps practices. You'll thrive in this position if you're a mid-senior level professional seeking significant career growth, hands-on experience with cutting-edge cloud technologies, and the opportunity to make a tangible impact on national security initiatives, all while enjoying a competitive compensation package and flexible work arrangements. Apply today to join a rapidly expanding consultancy at the forefront of technological advancement.

Quick Overview

Work Type

Remote

Level

Mid Senior

Job Description

Are you a GCP fanatic? Someone who recognises modern Cloud stacks and eager to harness AI technologies/MLOps type pratices?

I've partnered an AI Consultancy who're now driving on a transformational project that'll drive their new wave through the Defence sector. Working with tools such as GCP, GKE, Terraform, Prometheus, Loki and more you'll be getting on the code as well as getting in front of end clients to really delve into the details of the projects.

You'll improve observability, harden systems, and steer the use of Kubernetes hosted Cloud environments with Google Cloud. The role requires SC Clearance/Clearable due to the nature of the projects and expansion!

The business are really scaling through AI Engineering, Cloud Engineering and Data Engineering to harness the corners of their product and offering you a piece of the pie along the way.

The role offers a strong basic salary, benefits that include the option for shares (service led), 4 day work weeks through children holiday periods, 22 days AL and more..

If this suits and you want to be part of something truly bigger, apply or email me on

Skills

GCP

MLOps

Google Cloud

Grafana

Kubernetes

Prometheus

Terraform

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