Forward Deployed Engineer - AI SOC
New
United StatesFull-TimeSenior
Salary160,000 - 200,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonBashRESTful APIs
Requirements
- 5+ years of experience in security engineering, platform engineering, forward deployed engineering, solutions engineering, or related technical roles.
- Hands-on experience implementing and operating modern SOC technologies such as SIEM, XDR, and SOAR.
- Experience deploying cloud-native architectures on at least one major cloud provider (AWS, Azure, or GCP).
- Strong background in data integration, telemetry pipelines, normalization, and security analytics workflows.
- Experience working directly with customers, internal stakeholders, or cross-functional delivery teams.
- Ability to lead technical engagements and drive execution.
- Strong understanding of security operations, detection and response, cloud security, identity security, and endpoint security.
- Proficiency with scripting and automation (Python, PowerShell, or Bash).
- Familiarity with integration patterns including REST and webhooks.
- Working knowledge of AI/ML concepts relevant to SOC (anomaly detection, LLMs, vector search).
- Bachelor’s degree in Computer Science, Information Security, Engineering, or equivalent practical experience.
Responsibilities
- Serve as the technical lead for deploying and operationalizing security and AI solutions in customer or enterprise environments.
- Translate business, operational, and security requirements into deployable architectures and implementation plans.
- Design and implement integrations across SIEM, XDR, SOAR, case management, data platforms, and AI-enabled tooling.
- Build and configure cloud-native data ingestion, normalization, and enrichment pipelines for security telemetry.
- Operationalize AI and automation use cases within security workflows, including alert enrichment, triage support, and analyst copilots.
- Implement secure and governed automation for investigation and response use cases.
- Collaborate across Security Operations, Security Engineering, Detection Engineering, and Data Science teams.
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