SecOps Security Architect
New
G
GuidePoint SecurityCybersecurity
Remote in the U.S.Full-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Seven to ten years
- Required Skills
- Data engineering
Requirements
- Seven to ten years of experience in security operations, security architecture, SIEM engineering, data engineering, observability, consulting, or related fields.
- Demonstrated experience designing or leading SIEM, SOAR, security telemetry, data pipeline, observability, or security analytics engagements.
- Experience conducting client discovery, developing solution architectures, scoping professional-services engagements, and estimating engineering effort.
- Advanced understanding of SOC operating models, SIEM, SOAR, detection engineering, automation, security telemetry, data pipelines, and observability.
- Experience identifying technical assumptions, dependencies, delivery risks, acceptance criteria, and scope boundaries.
- Working knowledge of cloud architecture, APIs, authentication, networking, data formats, schemas, integration patterns, and access-control concepts.
- Ability to review technical queries, scripts, transformations, detection logic, automation workflows, and architecture documentation.
- Bachelor’s degree in cybersecurity, information technology, computer science, engineering, or a related field, or equivalent professional and military experience.
- Embraces emerging technologies, including AI tools.
Responsibilities
- Lead technical discovery and translate client objectives, environments, constraints, and risks into current-state and target-state architectures.
- Provide presales support by developing solution approaches, architecture diagrams, technical presentations, proposals, and responses to client requirements.
- Define engagement scope, activities, assumptions, dependencies, responsibilities, exclusions, deliverables, acceptance criteria, and level-of-effort estimates.
- Provide architectural leadership and technical oversight across SecOps Engineering and Data Analytics engagements.
- Evaluate SIEM, SOAR, data pipeline, observability, automation, AI, and related technologies against client use cases, integration requirements, operating models, and existing investments.
- Develop and maintain reference architectures, discovery questionnaires, scoping tools, estimation models, implementation patterns, and technical standards.
- Mentor SecOps Engineers and SecOps Data Engineers while reviewing designs and deliverables for technical accuracy, scope alignment, and maintainability.
- Partner with account executives and regional sales teams to qualify opportunities, shape services, identify technical risks, and establish realistic client expectations.
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