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Production Support AI-DevOps Engineers

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Onsite

Production Support AI-DevOps Engineers

ClifyX

Production Support AI-DevOps Engineers

Skills

PythonAIITILCompliance

1 month ago

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Important information


Contract type:

Permanent

Location:

Phoenix, AZ, USA

Work mode:

Onsite

Published on:

22 September 2026

What they need


Role: Production Support AI-DevOps Engineers

Location: Phoenix, AZ & Dallas, TX

Hire Type: Full Time '

Must Have Technical/Functional Skills

  • should have strong hands-on experience in Production Support and ITIL Operations,

  • including incident, problem,

  • vulnerability, change, and release management;

  • production monitoring and troubleshooting; batch and file-processing support; root cause analysis; environment and deployment management; API integration and support; identity and access management (IAM), including access, certificate, and privileged access management; disaster recovery planning and execution; platform reliability and service availability; CI/CD pipeline implementation and support; cloud platform administration; Infrastructure-as-Code (IaC);

Roles & Responsibilities

Resources should have strong hands-on experience in Production Support and ITIL Operations, including incident, problem, vulnerability, change, and release management; production monitoring and troubleshooting; batch and file-processing support; root cause analysis; environment and deployment management; API integration and support; identity and access management (IAM), including access, certificate, and privileged access management; disaster recovery planning and execution; platform reliability and service availability; CI/CD pipeline implementation and support; cloud platform administration; Infrastructure-as-Code (IaC); scripting and automation using Python and PowerShell; observability and monitoring; security remediation, compliance, and governance; and operational automation engineering. These resources will be expected to maintain application stability while driving automation, standardization, reliability, and continuous improvement across the Lending ecosystem.

Candidates should have working knowledge and hands-on experience with tools such as ServiceNow, CMDB, Control-M, Datadog, ELK/Kibana, SolarWinds, ThousandEyes, Active Directory/Entra ID, CyberArk, SQL, Confluence, SharePoint, Azure DevOps, Git, SonarQube, Invicti, Rapid7, Azure Portal, Azure services and functions, Co-Pilot, Informatica, Terraform, Kubernetes, Python, PowerShell, and related monitoring, deployment, cloud, automation, and security tools. Experience with monitoring standards, change controls, release management, platform reliability practices, and RTB support is a plus but not required.

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