Platform Engineer - AWS, Kubernetes, Docker

Applause IT Ltd
Manchester, UK
14 Jul 2019
21 Jul 2019
Contract Type
Full Time
Platform Engineer - Chef, Puppet, Bash, Python, Ruby, DevOps, Linux, AWS, Kubernetes

Salary: £45,000 to £55,000

Location: Manchester, City Centre

This is an amazing opportunity for a Platform Engineer to join a market leading business that's looking to expand there experienced DevOps team in the next 12 months. You will join an experienced team comprising of developers and automation testers.

This software consultancy has thoroughly established through the recent growth which has seen the revenue reach £700 million so far this year and continuous progress is eminent.

You will also be given the opportunity to work with containerisation, continuous integration, automation and cyber security.

The successful Platform Engineer will have:

Solid experience in automating application deployment and configuration management (Chef or Puppet or Similar)
Familiarity with at least one scripting or programming language - Bash, Python, Ruby etc.
Understanding of Agile methodologies and DevOps
Working knowledge of Linux OS
AWS Experience
Kubernetes experience
Experience with DockerThis is a fantastic opportunity for a Platform Engineer looking to make their mark on some exciting and highly-regarded projects. The company are passionate about being at the forefront of technology and so you will be invited to make suggestions on the implementation of tech and new ways of working.

There are ample opportunities for personal development and career progression within the business. Moreover, you will regularly receive training and opportunities to further your skill-set.

The office is a vibrant and modern working environment and easily commutable via public transport and local motorway networks.

If you are a Platform Engineer who is looking to join a market leading software consultancy, then APPLY NOW or contact (url removed)

Platform Engineer - Manchester, City Centre

Chef, Puppet, Bash, Python, Ruby, DevOps, Linux, AWS, Kubernetes

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