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Dev Ops Consultant - Big Data

Job Title: Dev Ops Consultant - Big Data
Contract Type: Contract
Location: London, London
Industry:
Salary: (£) Excellent Rate
Start Date: ASAP
Duration: 6 Months
REF: SB/LON/AG/BIG
Contact Name: Matt Wandowski
Contact Email: Matt.Wandowski@parallelconsulting.com
Job Published: 11 months ago

Job Description

We are looking for a Senior Dev Ops Consultant that has had exposure to working on Big Data projects.

Your tasks:

*Assess the value of open source tools and technologies.
*Partner with developers to ensure any blockers to them being able to debug and deploy applications
*Work with delivery teams to ensure the release of production artifacts
*Write Ansible Playbooks to instal, configure and populate Jenkins, Gerrit, Artifactory Pro, nginx, postgres, pgpool II.
*Installation and configuration of git, gerrit, jenkins, artifactory pro allowing projects to have a Continuous integration and build environment
*Use the vCloud SDK to automate the provisioning of vApps
*Set up and run cloud hosting using VMware vCloud director, Hypervisors, VM templates, networks, gateways, firewalls, site-to-site
*Write Salt grains to push out keys, change sudoers, update service accounts
*Write Jenkins jobs to orchestrate new environments
*Use the Azure Resource Model to build out infrastructure
*Create build radiators and Grafana dashboards

For this role you must be familiar of working in an Agile Scrum environment. You will be helping the client with troubleshooting, improvements, new packages, new artefacts, improving and refactoring build and delivery.

For this role you must be able to demonstrate previous positions where you have engaged with stakeholders at all levels.

I am open to discuss this role with all Dev Op consultants that have had previous exposure to Big Data environments.

Look forward to hearing from you.

Parallel Consulting is a multi-awarding winning, global leader in Analytics & Data Science recruitment.
With over 12 years expertise, we assist our clients within Analytics, Customer & Marketing Insight, Web Analytics, Big Data, Data Science, Credit Risk and BI.