DTEX Systems

Full-stack Engineer

• Own Outcomes, Not Just Delivery
• Own adoption, impact, and success of the AI pillar
• Define and drive the product strategy and roadmap aligned to DTEX’s platform vision
• Translate ambiguous, emerging problems into clear product direction and execution
• Operate a high-velocity POD model with engineering, product, design, and domain specialists
• Drive execution cadence, release planning, and milestone delivery
• Remove dependencies and ensure the team can ship quickly and predictably
• Define and evolve the AI architecture for the pillar (e.g., behavioral analytics, anomaly detection, LLM-driven reasoning, signal fusion)
• Drive decisions on build vs. leverage vs. partner across models, infrastructure, and data pipelines
• Ensure systems are production-grade—observable, explainable, and privacy-preserving
• Rapidly iterate from data → insight → model → product capability
• Partner with Sales, Customer Success, and Marketing to bring new capabilities to market
• Shape POVs, customer narratives, and early adoption strategies

Director, Product Engineering – AI POD Lead

Solutions Engineer

• Lead technical discussions with prospective customers
• Deliver compelling product demonstrations
• Conduct threat analysis and forensics
• Manage technical evaluations (POVs) to successful conclusions
• Develop and update pre-sales materials
• Create SE enablement videos
• Maintain technical collateral and white papers
• Ensure the SE toolbox remains current and effective

Senior Pre-Sales Solution Engineer, APAC

Research Engineer

• Design and implement behavioral detections and analytic content using DTEX’s proprietary telemetry and data models.
• Build and maintain full-stack applications and internal tools that support intelligence workflows, detection pipelines, and customer-facing features.
• Develop and optimize algorithms for behavioral modeling, anomaly detection, and risk scoring using structured and unstructured data.
• Lead QE efforts for the Intelligence team, including test automation, regression validation, and release readiness for detection content and supporting tools.
• Partner with data scientists, detection engineers, product managers, and customer success teams to translate intelligence needs into scalable solutions.
• Stay current with emerging threats, detection methodologies, and full-stack technologies to continuously improve DTEX’s detection and response capabilities.

Threat Intel Research Engineer

• Lead technical discussions with prospective customers
• Deliver compelling product demonstrations
• Conduct threat analysis and forensics
• Manage technical evaluations to successful conclusions
• Prepare comprehensive post-POV analysis and reports
• Act as trusted advisor during presales solution design and implementation
• Coordinate with cross-functional groups for customer opportunities

Senior Pre-Sales Solution Engineer

• Lead the development and optimization of large-scale OpenSearch clusters
• Contribute to Insider Risk Management (IRM) and Data Loss Prevention (DLP) products
• Serve as a consultant, advisor, and mentor to internal and external search practitioners
• Actively contribute to the OpenSearch community and participate in public forums
• Collaborate with cross-functional teams and open-source contributors to drive innovation
• Design and implement new features, enhancements, and bug fixes for DTEX’s IRM and AI Risk Management products
• Manage and fine-tune large-scale OpenSearch clusters with terabytes of data
• Apply recommended development and operational expertise to cloud-hosted OpenSearch environments

Senior/Principal Engineer – OpenSearch

Backend Engineer

• Backend-Focused Full Stack Development
• Lead the design and development of backend-centric features within a full stack web application using Python, Django, Postgres, and OpenSearch
• Build and operate services in a containerized cluster environment supporting deployments across cloud and on-premises infrastructures
• Architect and implement scalable, enterprise-grade features
• Work closely with Product and Engineering teams to translate user stories and requirements into robust solutions
• Leverage AI-assisted code editors and development tools to improve productivity
• Ensure applications are secure, performant and compliant with data protection standards
• Support deployment, monitoring and troubleshooting of services

Senior Backend Full Stack Engineer

• Lead technical discussions with prospective customers
• Deliver compelling product demonstrations
• Conduct threat analysis and forensics
• Manage technical evaluations (POVs) to successful conclusions
• Provide comprehensive pre-sales and post-sales support to DTEX Systems customers, partners, and sales team members

• Lead technical discussions with prospective customers
• Deliver compelling product demonstrations
• Conduct threat analysis and forensics
• Manage technical evaluations (POVs) to successful conclusions
• Develop and update pre-sales materials