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# Production Support cum AI- forward DevOps Engineer

- **Company:** ClifyX, INC
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Active Directory, Artificial Intelligence, Confluence, Microsoft Azure, Cloud Computing, Configuration Management Databases, Continuous Integration, DevOps, Disaster Recovery, Identity and Access Management, Python (Programming Language), Windows PowerShell, Release Management, Microsoft Copilot, Microsoft SharePoint, SonarQube, SQL Databases, Datadog, Data Processing, Cloud Platform System, Cyberark, Informatica Powercenter, System Availability, Git, Kubernetes, Infrastructure Automation Frameworks, SolarWinds (Software), Kibana, Terraform, Servicenow, Control M
- **Published:** October 29, 2026
- **Apply:** https://www.juju.com/job/15_79c13a88

## About the Role

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.