Ansible Developer


Ansible Developer

  • Location

    Dublin, Republic of Ireland

  • Sector:

    Software Development

  • Job type:


  • Salary::

    Up to £0.00 per annum

  • Contact:

    Lee Bowles

  • Contact email:


  • High Salary:


  • Low Salary:


  • Reference:


  • Job Published:

    12 months ago

  • Expiry Date:


  • Consultant:


Ansible Developer- Dublin- Initial 10-month contract
I am currently working with a global consultancy within the financial sector who are looking for an Ansible Developer to work onsite at one of their large end clients for an initial 10-month contract in Dublin.

The Ansible Developer will be a technical expert for Ansible ecosystem & DevOps practices within the organization, providing solutions and technical implementation aligned with the automation program objectives. This team member will develop Ansible artifacts, troubleshoot issues and work on implementing configuration management road map of the organization

Must Have Skills
1.Ansible and Ansible Tower experience
2.Linux Administration Experience
3.Python and other scripting language expert

*Develop Ansible playbooks and modules
*Administer Ansible infrastructure, perform maintenance and configuration and provide SME level support.
*Develop, configure and administer DevOps and IT automation solutions.
*Understand and re-mediate complex issues and topologies of large enterprises
*Provide technical support to IT ops around automation solution usage

*Strong experience with Ansible
*Experience in Ruby, Python, PL/SQL, PowerShell, and Bash
*Experience with Kickstart, Firewalls, Hypervisors and Routers
*Log mining & analytics using Splunk
*Expert level RHEL 6, RHEL 7, Windows 2012 and Windows 2016 System Administration
*Deep understanding of PostgreSQL, Oracle, Apache, Tomcat and Nginx
*Expert level understanding and implementation of RESTful, SOAP and SDK APIs
*Good understanding of Jenkins, Git, Chef
*Comfortable with frequent, incremental code, testing and deployment.
*Ability to adapt to a changing and dynamic environment.
*Basic Understanding in Data science practices and patterns