Rabbit MQ SME/Platform/DevOps Engineer

GCS Ltd
Sheffield, United Kingdom
yesterday

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 161K

Job location

Sheffield, United Kingdom

Tech stack

Microsoft Windows
Command-Line Interface
Cluster Analysis
Linux
DevOps
Python
Powershell
RabbitMQ
Scripting (Bash/Python/Go/Ruby)
Kubernetes Helm Charts
Containerization
Kubernetes
Docker

Job description

Role Overview

You will be part of a high-impact engineering team working on a global Privileged Access Management (PAM) transformation programme. RabbitMQ plays a critical role in enabling secure, scalable messaging across highly regulated environments.

This is a hands-on technical role involving architecture input, engineering, deployment, and collaboration with internal teams and technology stakeholders.

Role: Rabbit MQ/Platform/DevOps Duration: Until November this year extendable

Location: Sheffield 2days office in a week. Rate: GBP 600 to 620/Day Inside IR35

Key Responsibilities

Design, implement, and support RabbitMQ deployments across non-production and production environments

Configure and manage RabbitMQ clusters (multi-site deployments)

Contribute to architecture and low-level design documentation

Work closely with engineering, security, and infrastructure teams

Deploy and manage solutions using containerisation and orchestration tools

Troubleshoot and optimise messaging performance and reliabilit

Essential Skills

Strong experience with RabbitMQ (Queues, Exchanges, Shovels, Clustering)

Experience managing RabbitMQ via Command Line (Linux/Windows)

Good understanding of Kubernetes (pods, deployments, Helm charts)

Hands-on experience with Docker

Scripting experience in Python and PowerShell

GCS is acting as an Employment Business in relation to this vacancy.

Requirements

Strong experience with RabbitMQ (Queues, Exchanges, Shovels, Clustering)

Experience managing RabbitMQ via Command Line (Linux/Windows)

Good understanding of Kubernetes (pods, deployments, Helm charts)

Hands-on experience with Docker

Scripting experience in Python and PowerShell

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