Security Engineer (SOAR) - Mid-Atlantic region (Remote)

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk.

By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk.

• 5+ years in security operations with a working understanding of how a SOC functions end to end (alert triage, escalation, incident response, case management)
• 3+ years specifically designing and building security automation/orchestration workflows
• Hands-on experience with at least one SOAR/automation platform; Tines, Torq, or Cortex XSOAR highly preferred
• Proficiency integrating security and IT systems via REST APIs, webhooks, and JSON
• Scripting ability, primarily Python, for custom logic, data transforms, and handling within automated workflows
• Working knowledge of the tooling categories automations connect to: SIEM, EDR/XDR, ticketing (ServiceNow, Jira), threat intelligence, and email security
• Ability to decompose a manual security process into a reliable automated workflow, including error handling, conditional logic, and secure runs
• Embraces emerging technologies, including AI tools, to work smarter, solve problems, and drive better business outcomes
• Familiarity using LLMs in a development and automation context, including AI assisted or agentic coding tools such as Claude Code or Codex; exposure to MCP based integrations is a plus
• Ability to independently scope automation requirements with clients and translate them into a build plan
• Platform or vendor certifications: Tines, Torq, Cortex XSOAR; or SIEM/EDR certs (such as Splunk, Microsoft Sentinel, CrowdStrike)
• Cloud experience (AWS or Azure) and familiarity with cloud native security tooling
• Prior delivery experience in a consulting, professional services, or MSSP environment
• Detection engineering exposure in areas such as detections-as-code (DaC), Sigma, or similar
• Version control and automation-as-code practices (Git or similar repo controls)

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