Forward Deployed Data Architect

Tenex.AI, Inc

Job Overview

Location

Kansas City, MO SOC

Job Type

Full-time

Full Job Description

📋 Description

• Serve as the senior technical leader for TENEX’s content engineering practice, defining and owning the architecture of detection content, parsers, playbooks, and integrations across SIEM/SOAR platforms.
• Set the technical direction and quality standards for all Security Solution Engineers — SIEM/SOAR, acting as the primary escalation point for complex technical challenges involving detection logic, parser development, SOAR automation, API integrations, and custom scripting.
• Design and lead platform-specific content roadmaps aligned to customer coverage targets for Google SecOps, Microsoft Sentinel, and AWS security services.
• Translate customer-specific security findings into reusable, scalable detection content and automation workflows that enhance enterprise-wide threat detection capabilities.
• Evaluate and integrate new data sources, third-party vendor tools, and platform partnerships to expand content coverage and improve detection efficacy.
• Drive the adoption of AI-assisted content generation tooling by establishing quality review standards, validation processes, and governance frameworks for automated detection content.
• Mentor and guide Security Solution Engineers — SIEM/SOAR in technical best practices, architecture design, and scripting proficiency to elevate team-wide technical standards.
• Contribute to hiring decisions and the technical growth of the Security Solution Engineering team through coaching, code reviews, and knowledge sharing.
• Collaborate closely with Forward Deployed Engineering (FDE) and Security Engineering & Architecture (SE&A) teams to ensure customer insights directly inform scalable content development.
• Maintain deep expertise in detection engineering principles, SIEM platform capabilities, and SOAR automation frameworks to ensure TENEX’s content remains ahead of evolving threat landscapes.
• Build and maintain standardized taxonomy for playbooks, detection rules, and dashboard designs to ensure consistency and scalability across all deployed solutions.
• Act as the technical authority on parser development, REST API integrations, and cloud function scripting (Python) to enable efficient, reliable, and maintainable security automation.
• Participate in strategic planning to align content engineering initiatives with TENEX’s broader mission of revolutionizing AI-native Managed Detection and Response.
• Embody TENEX’s culture of in-person collaboration, innovation, and high-performance engineering within the Kansas City office environment.

🎯 Requirements

• 5+ years in detection engineering and/or content architecture with SIEM platform expertise
• Demonstrated expertise defining content strategy and architecture across multiple SIEM platforms (Google SecOps, Sentinel, and/or others)
• Deep proficiency in detection logic, parser development, SOAR automation, and REST API integrations
• Strong scripting and development skills (Python, cloud functions, APIs)
• Experience leading platform content roadmaps and driving adoption of AI-assisted content tooling
• Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field (or equivalent practical experience)

🏖️ Benefits

• Opportunity to work with cutting-edge AI-driven cybersecurity technologies and next-generation security platforms
• Collaborate with a talented and innovative team focused on continuously improving security operations
• Competitive salary and benefits package
• A culture of growth and development, with opportunities to expand your expertise in AI, cybersecurity, and engineering
• Be part of building something new — TENEX's Forward Deployed Engineering organization is a greenfield opportunity to define how enterprise security is delivered at scale

Skills & Technologies

Python

AWS

GCP

REST

Senior

Onsite

Degree Required

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Tenex.AI, Inc

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About Tenex.AI, Inc

Tenex.AI is a cybersecurity company that offers an AI-native managed detection and response (MDR) platform. It combines automated threat detection, risk management, and incident response capabilities with human oversight to identify, contain, and remediate security incidents in real time. Tenex integrates with cloud and security stacks from providers like Google, Microsoft, and others to reduce response times and streamline operations.

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