DevOps Engineer

GCP DevOps Engineer

£425 - £500 per day DOE (Inside IR35)

12-Month Contract

Hybrid Working – 2 Days per Week Onsite in Manchester

ASAP Start

Overview

We are seeking an experienced GCP DevOps Engineer to join a growing Engineering team on a long-term contract. This is an exciting opportunity to play a key role in building and supporting cloud-native platforms, automating software delivery pipelines, and enabling the deployment of cutting-edge AI and machine learning solutions within Google Cloud Platform (GCP).

Working as part of a collaborative engineering environment, you will be responsible for managing cloud infrastructure, enhancing platform capabilities, and driving DevOps best practices across the software development lifecycle.

Key Responsibilities

• Develop and enhance Python-based automation tools and services.
• Build and support transformer and AI agent architectures within GCP.
• Package, deploy, and serve machine learning models using containers, KServe, and Vertex AI endpoints.
• Manage feature stores, model registries, model monitoring, and drift detection processes.
• Support GPU scheduling and optimisation for AI/ML workloads.
• Implement and manage canary and shadow deployment strategies.
• Design and maintain infrastructure as code using Terraform.
• Collaborate with engineering, data, and product teams to deliver scalable platform solutions.
• Troubleshoot platform and deployment issues, perform root cause analysis, and implement permanent fixes.
• Drive continuous delivery, observability, and platform engineering best practices.

Required Experience

• 6+ years' experience in DevOps, Platform Engineering, or Cloud Engineering roles.
• Strong experience with Google Cloud Platform (GCP).
• Expertise in Kubernetes and/or OpenShift administration and engineering.
• Hands-on experience with Terraform and Infrastructure as Code.
• Experience with Backstage or Internal Developer Platforms (IDP).
• Strong knowledge of Continuous Delivery and CI/CD practices.
• Experience implementing observability solutions, including metrics, telemetry, SLOs, and operational automation.
• Solid background in platform engineering and cloud-native environments.

Desirable Skills

• Strong Python scripting and automation skills.
• Experience supporting AI/ML platforms and model deployment pipelines.
• Knowledge of KServe, Vertex AI, and cloud-based MLOps tooling.
• Experience with JIRA and Agile delivery environments.

What's on Offer?

• Initial 12-month contract with strong extension potential.
• Hybrid working model with 2 days per week onsite in Manchester.
• Opportunity to work on large-scale cloud and AI platform initiatives.

If you're a seasoned GCP DevOps Engineer with strong Kubernetes, Terraform, and Platform Engineering experience and are looking for your next contract opportunity, we'd love to hear from you. Please apply promptly to be considered.