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DevOps Automation Engineer – III

Job in Arlington, Tarrant County, Texas, 76000, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-08-02
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 170000 USD Yearly USD 120000.00 170000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Develop and support the tools and infrastructure that support the SDLC pipeline and configuration management capabilities
  • Architect, implement, customize and deploy CI/CD pipelines for software and infrastructure delivery
  • Conduct knowledge transfer of standards, technical approach, and tooling capabilities of the team
  • Communicate technical approach and implementation status to stakeholders
  • Conduct problem isolation and troubleshooting on the infrastructure and tools owned by the team
  • Contribute to continuous improvement of the tools and capabilities of the team
  • Perform system planning, installation, and upgrades of the tools and infrastructure owned by the team
  • Evangelize best practices, policies, and capabilities of the team to development organization
  • Act as an advocate for stakeholder requirements when dealing with other teams in the enterprise
  • Lead and/or facilitate critical incident escalation activities where required
  • Manage intake queue working in an agile environment
  • Update platform KPIs to be consumed by stakeholders
  • After hours support and participation in an on-call rotation as needed
Requirements
  • 4-6 years CI/CD implementation, application development, systems automation or configuration management required
  • 4-6 years working in a global enterprise environment preferred
  • High School Diploma or equivalent required
  • Bachelor’s Degree in related field or equivalent experience required
  • Experience leveraging and managing CI/CD tool chain products like Git, Azure Dev Ops, Jenkins, Octopus Deploy, etc.
  • Experience with configuration management tools like Ansible, Chef, Puppet
  • Experience with provisioning tools like Terraform, ARM templates, Cloud Formation, etc.
  • Experience with scripting and automation programming -- languages like Ruby, Python, JavaScript, Bash, Power Shell
  • Experience with a development framework for at least one of the following languages:
    JavaScript, C#, GoLang, Ruby, Python
  • Experience with enterprise platforms, operating systems, web applications and micro-services
  • Experience with containers and container management technologies like Docker, Kubernetes, Rancher, etc.
  • Experience with Web App and API technologies - XML, XSL, WSDL, SOAP, JSON, HTML, and REST
  • Knowledge of controlling access to APIs via authentication and authorization utilizing OAuth
  • Working knowledge and troubleshooting experience with TCP/IP, DNS, and other common network protocols
  • Experience with using SSL certificates, reverse proxies, and load-balancing
  • Knowledge of IT security, networking, and infrastructure practices and capabilities
  • Knowledge of information systems concepts, system administration and cloud platforms
  • Knowledge of public cloud architectures and offerings:
    Blob, EC2, S3, Cosmos DB, Azure Functions, AKS, EKS
  • Excellent communication, technical writing, and documentation skills
  • Ability to work collaboratively, building relationships with team members and stakeholders
  • Strong troubleshooting and analytical skills
  • Experience using at least one of the following:
    JavaScript, Bash, Power Shell, Python, Ruby, GoLang, C#, Java
  • Experience with automated build and release tools (Jenkins, TFS/Azure Dev Ops, Artifactory, Octopus)
  • Experience running and troubleshooting applications running on containers
  • Experience administering servers
  • Experience working with configuration management/infrastructure-as-code tools (Puppet, Terraform, Chef, Ansible, Salt, DSC)
  • Experience working with web server technologies (NGINX, Apache, Tomcat, IIS, etc.)
  • Experience supporting containerized workloads using docker and an orchestrator. (Kubernetes, Swarm, etc.)
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