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Ansible Expert

Job in Columbus, Muscogee County, Georgia, 31901, USA
Listing for: TechDigital Group
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Administrator, Systems Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Responsibilities:
  • Understand and remediate complex issues and topologies of large enterprises
  • Define and setup the process for managing Ops developed playbooks
  • Administer Ansible infrastructure, perform maintenance and configuration and provide SME level support.
  • Provide advice and recommendation to improve the security, standards and policies (naming and organization conventions, etc) for the platform environment.
  • Generalize the ops playbooks for other environments and feedback / handover to the Platform Solutions team (where appropriate).
  • Generate auto start/stop scripts, auto registration to load balancers, creation / cloning of database schemas using Ansible.
Requirements:
  • Configure WINDOWS and LINUX machine with application stack using Ansible
  • Very strong, Ansible expert with strong technical hands on experience
  • Ansible certification
  • Strong experience in automating Windows and Linux deployments as well as managing network devices as well as other IT applications
  • Experience using Ansible for Dev Ops Development with cloud environments and their supporting infrastructures.
  • Intermediate-level scripting in Bash or Python. Experience in Ruby, PL/SQL, Power Shell is advantageous.
  • Expert level RHEL 6, RHEL 7, Windows System Administration
  • Good understanding of Git, Chef
  • strong Experience implementing a continuous integration (CI) or continuous development (CD) pipeline.
  • Knowledge of container management and orchestration tools
  • 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
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