Vulnerability Automation Engineer

Lumin Digital

Location: United States
Workplace: Remote
Employment: Full Time
Salary: USD 170,000–190,000/yr

Posted 2mo ago

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Responsibilities

Design and implement end-to-end vulnerability automation pipelines
Build and maintain agentic AI workflows using tools such as Claude Code
Engineer automated asset discovery and inventory systems
Develop and operationalize automated configuration hardening pipelines
Create and maintain infrastructure-as-code templates, policy-as-code rules
Build self-service remediation tooling and agentic support systems
Integrate vulnerability data sources into unified automation platforms
Develop metrics, dashboards, and automated reporting
Collaborate with product, engineering, operations, and risk teams

Requirements

Bachelor’s degree in Computer Science, Cybersecurity, Software Engineering, or related field; or equivalent experience
5+ years of hands-on experience in security engineering, DevSecOps, vulnerability management, or infrastructure automation
Demonstrated experience building and shipping automation pipelines in production environments using Python, Go, Bash, or similar languages
Experience with infrastructure-as-code tools such as Terraform
Proven track record of working in cloud-native environments
Deep familiarity in containerized workloads, Kubernetes, serverless architectures, and CI/CD pipeline integration
Experience with vulnerability scanning and security assessment platforms (e.g., Tenable, Qualys, Wiz, Snyk, Trivy, Grype, or cloud-native equivalents)
Ability to integrate vulnerability scanners programmatically into automated workflows
Deep understanding of vulnerability classes (OWASP Top 10, CWE, CVE/CVSS, EPSS)
Proficiency with AI-assisted development tools (Claude Code, GitHub Copilot, or similar agentic coding assistants)
Ability to design, prompt-engineer, and orchestrate AI agents for security automation workflows
Strong software engineering fundamentals: version control (Git), code review, testing, CI/CD, API design
Ability to write production-quality, maintainable code
Hands-on experience with cloud security tooling and APIs (AWS Config, GuardDuty, Inspector, Security Hub)
Experience with container security
Familiarity with security data engineering concepts: API and database integration, data normalization
Ability to build automated evidence-collection pipelines for compliance and audit support
Excellent written and verbal communication skills
Ability to translate complex automation architectures into clear documentation, runbooks, and knowledge-transfer materials
Self-directed engineering mindset with a bias toward action
Low tolerance for manual toil and a drive to eliminate recurring work through automation

Preferred

Experience with MCP (Model Context Protocol) integrations
Building custom AI tool-use pipelines
Contributing to open-source security automation projects

Skills

Python
Go
Bash
Terraform
Kubernetes
Git
AWS Config
GuardDuty
Inspector
Security Hub
Claude Code
GitHub Copilot
Tenable
Qualys
Wiz
Snyk
Trivy
Grype

Responsibilities

Requirements

Preferred

Skills

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