AI-Enabled Remediation Engineer(Linux) - NYC (Hybrid)

Hybrid in New York, NY, US • Posted 5 hours ago • Updated 5 hours ago
Contract Independent
Contract W2
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Role: AI-Enabled Remediation Engineer(Linux) Location: NYC – Hybrid 3 days onsite- Only H1b -LOCAL Headcount: 1 Experience: 12+ years JD: Experienced AI-Enabled Remediation Engineer(Linux) with strong Linux administration and vulnerability management expertise. The ideal candidate will be responsible for identifying
  • prioritizing
  • and remediating security vulnerabilities across enterprise Linux environments while leveraging AI tools and agentic workflows to automate vulnerability analysis
  • reporting
  • and remediation processes. Key Responsibilities Administer and support RHEL 7/8/9 production environments. Perform vulnerability assessment and remediation using Qualys
  • Tenable
  • or Nessus. Analyze CVE/CVSS findings and coordinate remediation activities. Develop automation using Python
  • Bash
  • Ansible
  • Jenkins
  • and GitHub. Build AI-powered workflows for vulnerability data collection
  • correlation
  • and remediation recommendations. Design and implement AI prompt-based agents and Agentic AI workflows to automate security operations. Work closely with Infrastructure
  • Security
  • and Application teams to drive remediation to closure. Required Skills Linux Administration (RHEL 7/8/9) Vulnerability Management (Qualys
  • Nessus
  • Tenable) CVE/CVSS analysis and remediation Python and Bash scripting Jenkins
  • GitHub
  • Ansible AI Prompt Engineering AI Agent development (Langchain
  • LangGraph
  • CrewAI
  • Copilot Studio
  • AutoGen
  • or similar) Data correlation
  • analysis
  • and AI-driven reporting Strong troubleshooting and production support experience Preferred Skills Docker
  • Kubernetes
  • OpenShift AWS
  • Azure
  • or GCP ServiceNow
  • Jira Red Hat certifications (RHCSA/RHCE) Experience with OpenAI
  • Azure OpenAI
  • Amazon Bedrock
  • or similar LLM platforms Nice to Have Experience building AI solutions for Security Operations (SecOps)
  • Vulnerability Management
  • or AIOps. Knowledge of Infrastructure-as-Code (Terraform) and DevSecOps practices.

Summary

Role: AI-Enabled Remediation Engineer(Linux)

Headcount: 1

Experience: 12+ years

JD:

Experienced AI-Enabled Remediation Engineer(Linux) with strong Linux administration and vulnerability management expertise. The ideal candidate will be responsible for identifying, prioritizing, and remediating security vulnerabilities across enterprise Linux environments while leveraging AI tools and agentic workflows to automate vulnerability analysis, reporting, and remediation processes.

Key Responsibilities

  • Administer and support RHEL 7/8/9 production environments.
  • Perform vulnerability assessment and remediation using Qualys, Tenable, or Nessus.
  • Analyze CVE/CVSS findings and coordinate remediation activities.
  • Develop automation using Python, Bash, Ansible, Jenkins, and GitHub.
  • Build AI-powered workflows for vulnerability data collection, correlation, reporting, and remediation recommendations.
  • Design and implement AI prompt-based agents and Agentic AI workflows to automate security operations.
  • Work closely with Infrastructure, Security, and Application teams to drive remediation to closure.

Required Skills

  • Linux Administration (RHEL 7/8/9)
  • Vulnerability Management (Qualys, Nessus, Tenable)
  • CVE/CVSS analysis and remediation
  • Python and Bash scripting
  • Jenkins, GitHub, Ansible
  • AI Prompt Engineering
  • AI Agent development (Langchain, LangGraph, CrewAI, Copilot Studio, AutoGen, or similar)
  • Data correlation, analysis, and AI-driven reporting
  • Strong troubleshooting and production support experience

Preferred Skills

  • Docker, Kubernetes, OpenShift
  • AWS, Azure, or Google Cloud Platform
  • ServiceNow, Jira
  • Red Hat certifications (RHCSA/RHCE)
  • Experience with OpenAI, Azure OpenAI, Amazon Bedrock, or similar LLM platforms

Nice to Have

  • Experience building AI solutions for Security Operations (SecOps), Vulnerability Management, or AIOps.
  • Knowledge of Infrastructure-as-Code (Terraform) and DevSecOps practices.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90838445
  • Position Id: 9102233
  • Posted 5 hours ago
Contact the job poster
KS

Krishna Saravanan

Recruiter @ HAN IT Staffing Inc.
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