Senior Staff Engineer – AI Security & Tag Management Services

Trend Micro, a global cybersecurity leader, helps make the world safe for exchanging digital information across enterprises, governments, and consumers.

Fueled by decades of security expertise, global threat research, and continuous innovation, Trend harnesses AI to protect organizations and individuals across clouds, networks, devices, and endpoints.

The Trend Vision One™ enterprise cybersecurity platform accelerates proactive security outcomes by predicting and preventing threats across the entire digital estate and environments like AWS, Google, Microsoft, and NVIDIA.

Proactive security starts here.  TrendMicro.com

Location: This is a hybrid role based out of our Austin, TX office and requires in-office presence three days a week. 

Position Summary:

TrendAI Vision One platform is building the next generation of AI-driven cybersecurity platforms designed to protect modern enterprise environments at global scale. As part of this initiative, we are expanding TrendAI Vision One AI Security and Tag Management services, which power security intelligence, contextual data tagging, and AI-enabled detection capabilities across Vision One ecosystem. 

We are seeking a Senior Staff Engineer to lead the architecture and development of these core platform capabilities. This role will drive the evolution of large-scale security platforms, enabling secure, scalable, and intelligent services that power multiple security products and AI-driven workflows. 

This is a high-impact technical leadership role requiring deep experience in distributed systems, large-scale SaaS platforms, security data pipelines, and cloud-native architecture. The ideal candidate will shape the technical direction of platform services used across multiple product teams and influence the long-term architecture of TrendAI Vision One platform. 

Responsibilities -

Architecture & Technical Strategy:

• Define and lead the architecture and long-term technical strategy for Vision One AI Security and Tag Management services. 

• Design scalable multi-tenant cloud platform components supporting large-scale security telemetry, metadata tagging, and AI-driven analytics. 

• Drive cross-team platform architecture alignment and establish reusable platform services used across multiple security products. 

• Lead complex architectural initiatives and influence technical direction across engineering organizations. 

Engineering Excellence & Operational Leadership:

• Establish and promote best practices in system design, reliability engineering, and cloud-native architecture. 

• Lead architecture reviews, design discussions, and deep technical problem solving. 

• Ensure platform services meet enterprise standards for security, reliability, observability, and operational excellence. 

Technical Leadership & Mentorship:

• Mentor engineers and technical leads across multiple teams. 

• Provide guidance on system architecture, scalability challenges, and platform engineering practices. 

• Influence engineering culture by promoting high standards in design, development, and operational ownership. 

Security Data Platform & Distributed Systems:

• Architect and develop large-scale distributed systems that process high-volume security telemetry and contextual data. 

• Build and operate high-throughput data ingestion and processing pipelines supporting tagging, classification, and security intelligence workflows. 

• Design platform services capable of handling billions of sec