Automation Engineer III

Midland, Texas, United States

Job Reference 1194336

Location Midland, Texas, United States

Industry Oil & Gas - Onshore Oil

Function Engineering & Design

Job Type Contract

Date Added September 19, 2023

 Automation Engineer III– Carlsbad, NM.

Airswift is an international workforce solutions provider within the energy, process, and infrastructure industries. Airswift serves as a strategic partner to our clients, offering a turnkey workforce solution to capture and deliver the top talent needed to complete successful projects by aligning with the unique needs of our clients.  With over 800 employees and 6,000 contractors operating in over 50 countries, our geographical reach and pool of talent available is unmatched in the industry and the level of experience, exposure, and expertise that the organization has is unparalleled.


Demonstrates proven thorough abilities with, and success in roles, automating workflows and identifying process improvement, which includes the following areas:
  • Managing and analyzing existing processes to identify automation opportunities across multiple platforms and technologies.
  • Collaborating with Senior Automation Engineers and development teams to design processes in the most efficient way to enable automation and machine learning in a culture of innovation.
  • Managing project delivery consistent with industry leading operational disciplines such as Change Management and Quality Management to establish the availability of secure, stable, and supportable services that align with the strategic direction of US IT.


Demonstrated thorough knowledge, technical understanding, and success in roles for improving and managing the productivity of technology processes and business processes by creating automated workflows to replace manual workflows including the following areas:
  • Configuration management tools (such as Chef, Puppet, Ansible).
  • Script languages (including Python, Ruby, JScript, VBscript).
  • Cloud infrastructure and container-based deployment.
  • Lean IT principles and data driven approaches.

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