Solution Architect, End Point

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DTEX Systems

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Cybersecurity • Artificial Intelligence • Enterprise

DTEX Systems is a leader in insider risk management solutions, providing an AI-driven platform that integrates Data Loss Prevention (DLP), User and Entity Behavior Analytics (UEBA), and User Activity Monitoring (UAM) for comprehensive security. Their solution focuses on detecting, deterring, and disrupting potential insider threats while maintaining user privacy. By offering tools for behavioral risk scoring and real-time insights, DTEX empowers organizations to mitigate risks proactively, thereby preventing data breaches before they occur.

51 - 200 employees

Founded 2002

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

📋 Description

• Define, document and evangelise the end-point architecture strategy for DTEX: overview of agent/forwarder deployment, telemetry collection, data ingestion, and integration with broader security ecosystem (SIEM, SOAR, DLP, EDR). • Partner with customers to shape how endpoint telemetry and behaviour analytics are architected and deployed at scale. • Lead technical engagements: conduct workshops, proof of concept (PoC) architecture reviews, high-level design (HLD) and low-level design (LLD) for enterprise customer deployments of DTEX. • Define reference architectures (on-premises, cloud, hybrid, VDI/virtualised environments) for endpoint deployment (Windows, macOS, Linux, servers, VDI, remote/mobile). • Ensure scalability, performance, security and privacy of endpoint components. • Provide guidance on endpoint telemetry schema, behavioural models, data pipelines & event correlation • Work with customers and services to architect integration points: endpoint to cloud, to SIEM/SOAR, to other security tools (EDR, DLP, CASB where relevant). • Author and maintain technical documentation, runbooks, best practices, and deployment guides. • Provide mentorship and technical leadership to internal teams and/or partners. • Support with escalations in complex deployments or investigations, driving root-cause analysis and corrective architecture improvements. • Stay up-to-date with endpoint security trends, telemetry methods, behavioural analytics, privacy regulation impacts, and cloud/native endpoint architectures.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Security or equivalent; advanced degree preferred. • Depth of experience in enterprise security with strong emphasis on endpoint/agent deployments (Windows, macOS, Linux), telemetry collection, behaviour analytics, data pipelines. • Hands-on experience in designing and delivering large-scale endpoint deployments in enterprise / global organisations (100,000+ endpoints) or equivalently complex environments. • Strong understanding of endpoint security technologies: EDR, DLP, UAM, UEBA, endpoint agents/forwarders, telemetry ingestion and analytics. • Strong experience with cloud security (AWS, Azure, GCP), hybrid environments, VDI, remote workforce architecture. • Interoperability: Understanding and experience of how well endpoint components (such as agents, operating systems, applications and security tools) work together & exchange data or functions seamlessly. • Ability to travel (as required) for customer site visits, architecture workshops, partner engagements.

🏖️ Benefits

• Active Australia Negative Vetting 1 (NV1) Security Clearance in good standing required.