Production Support, AI- forward DevOps Engineer
  • ClifyX Inc.
1 Hours Ago
NA
Yearly
Phoenix-AZ
8-10 Years
Required Skills: CyberArk, SQL, Confluence, SharePoint, Azure DevOps, Git, SonarQube, Invicti, Rapid7, Azure Portal, Azure services, Azure functions, Co-Pilot, Informatica, Terraform, Kubernetes, Python, PowerShell, CMDB, Control-M, Datadog, ELK, Kibana, SolarWinds, ThousandEyes, Active Directory, Entra ID
Job Description
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.

Jobseeker

Looking For Job?
Search Jobs

Recruiter

Are You Recruiting?
Search Candidates