DevOps Engineer - Cloud Platforms

Platform Recruitment United Kingdom
Remote
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AI Summary

Build, manage, and mature secure delivery pipelines across multiple customer environments. Implement best-practice DevOps processes, work with containerized workloads, and orchestrate Kubernetes clusters.

Key Highlights
Manage and optimize customer DevOps pipelines
Design, build, and maintain secure CI/CD pipelines
Implement container scanning, image security measures, and vulnerability remediation workflows
Technical Skills Required
Cloud platforms (AWS, Azure, GCP) CI/CD pipelines Container security Kubernetes clusters Container scanning Image security measures Vulnerability remediation
Benefits & Perks
£60,000 - £70,000 annual salary
Fully remote work

Job Description


DevOps Engineer | Fully Remote | £60,000 - £70,000


We are seeking a hands-on DevOps Engineer to build, manage, and mature secure delivery pipelines across multiple customer environments. The role focuses on modern cloud platforms and involves implementing best-practice DevOps processes, working with containerized workloads, orchestrating Kubernetes clusters, and embedding security automation throughout CI/CD pipelines.


This position is ideal for someone who enjoys technical autonomy and wants to help define DevOps standards across diverse cloud infrastructures.


Key Responsibilities


+Manage and optimise customer DevOps pipelines across various cloud providers.

+Design, build, and maintain secure CI/CD pipelines with automated security controls.

Implement container scanning, image security measures, and vulnerability remediation workflows.

+Orchestrate, maintain, and harden Kubernetes clusters following best-practice configurations.


Required Skills & Experience


+Strong experience with at least one major cloud platform (AWS, Azure, or GCP).

+Hands-on experience taking ownership of existing CI/CD pipelines and improving or optimising them.

+Solid understanding of container security, image scanning, and secure build processes.

+Practical experience orchestrating, configuring, and hardening Kubernetes clusters.


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