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Vulnerability Management Automation Engineer Jobs

Techvilla Solutions

We are seeking an experienced Mobile Security Vulnerability Management Engineer to lead Proof of ... Integrate mobile security tools with MDM, SIEM, ITSM, and automation platforms. * Automate ...

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Vulnerability Management Automation Engineer information

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$37K

$107.1K

$163K

How much do vulnerability management automation engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for vulnerability management automation engineer in the United States is $107,126.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,500.00 and $123,500.00 per year, depending on experience, location, and employer.

What does a vulnerability management automation engineer do?

A Vulnerability Management Automation Engineer designs, develops, and maintains automated solutions to identify, assess, and remediate security vulnerabilities within an organization's systems and networks. They work closely with security and IT teams to streamline vulnerability scanning, reporting, and patch management processes. Their goal is to reduce manual work, improve efficiency, and ensure timely mitigation of security risks by leveraging automation tools and scripting. This role requires strong technical skills in cybersecurity, automation technologies, and familiarity with vulnerability management platforms.

What are the key skills and qualifications needed to thrive as a vulnerability management automation engineer?

To thrive as a Vulnerability Management Automation Engineer, you need expertise in cybersecurity, scripting languages (such as Python or PowerShell), and a strong understanding of vulnerability assessment methodologies, often supported by a degree in computer science or information security. Familiarity with vulnerability scanning tools (like Nessus or Qualys), security information and event management (SIEM) systems, and certifications such as CISSP or CEH are typically required. Strong problem-solving skills, attention to detail, and effective communication help you identify risks and collaborate with cross-functional teams. These skills are crucial for proactively identifying, automating the remediation of security weaknesses, and protecting organizational assets from cyber threats.

What are some common challenges faced by vulnerability management automation engineers when integrating automated tools into existing security workflows?

A common challenge for Vulnerability Management Automation Engineers is ensuring that automated tools seamlessly integrate with legacy systems and current security processes without causing disruptions. Balancing automation efficiency with accuracy is crucial, as automated scans can sometimes generate false positives or miss context-specific vulnerabilities. Additionally, coordinating with cross-functional teams, such as IT and DevOps, is essential to align remediation efforts and establish clear communication channels. Staying updated with the latest threat landscapes while continuously refining automation scripts also presents an ongoing challenge.

What is the difference between Vulnerability Management Automation Engineer vs Vulnerability Analyst?

AspectVulnerability Management Automation EngineerVulnerability Analyst
CertificationsCompTIA Security+, CISSP, or similarCompTIA Security+, GIAC, or similar
Work EnvironmentFocus on automation tools, scripting, and security systemsFocus on vulnerability assessment, analysis, and reporting
Industry UsageIT security teams, cybersecurity firms, large enterprisesSecurity operations centers, IT departments, consulting firms

The Vulnerability Management Automation Engineer primarily develops and maintains automation tools to streamline vulnerability detection and remediation, utilizing scripting and security platforms. In contrast, the Vulnerability Analyst conducts manual assessments, analyzes vulnerabilities, and reports findings. Both roles are essential in cybersecurity but differ in technical focus and daily tasks.

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Vulnerability Management Automation Engineer jobs near you
Infographic showing various Vulnerability Management Automation Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $107,126 per year, or $51.5 per hour.

Vulnerability Analysis Automation Engineer

Analygence

Scottdale, PA

Full-time

Re-posted 15 days ago

Job description

The DHS CISA Cybersecurity Division (CSD) Vulnerability Management (VM) Disclosure Branch enables the Government to maintain an analytical edge over adversaries and to support vulnerability coordination activities across the United States. The Disclosure Branch has a requirement to develop a vulnerability ecosystem through partnership and platform development and to create assurance in future software products to deployed in various networks through the expansion of the concept of Software-Bills-of-Materials and other mechanisms to uncover trends, provide solutions, and reduce the risk of products deployed on our Nation's networks.

Tharros is seeking a Vulnerability Analysis Automation Engineer to support this mission. This is an automation-first role. As the mission scales, the only way to keep pace is to automate aggressively - building pipelines and AI-driven tooling that do the repetitive work so analysts can focus on judgment. Tharros is seeking a Vulnerability Analysis Automation Engineer whose default instinct is to automate: someone who sees a manual process and immediately asks how to make it run on its own. You will spend the majority of your time designing, building, and hardening automation that accelerates software development, vulnerability analysis, and day-to-day operations.

What You'll Do:
  • Automate first: identify manual, repetitive, and error-prone processes and replace them with reliable, observable, maintainable automation.
  • Design, build, and maintain automated pipelines that reliably build, test, secure, and deploy software to running environments.
  • Build AI- and ML-driven tooling - including LLMs and agentic workflows - to automate analysis, triage vulnerability data, and accelerate engineering and operational work.
  • Instrument and monitor your automation so it stays trustworthy at scale, and continuously expand what the team can run hands-free.
  • Manage and support source code repositories and the development workflows that depend on them.
  • Research and evaluate emerging automation and AI tooling, and bring the most promising capabilities into our technical solutions.

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