Production Support cum AI- forward DevOps Engineer

ClifyX, INC
Phoenix, AZ, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+19 more
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

Requirements

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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